Category Archives: Technology

Canada, quantum technology, and a public relations campaign?

Stephanie Simmons’ October 31, 2022 essay on quantum technology and Canada for The Conversation (h/t Nov.1.22 news item on phys.org) was a bit startling—not due to the content—but for the chosen communications vehicle. It’s the kind of piece i expect to find in the Globe and Mail or the National Post not The Conversation, which aspires to present in depth, accessible academic research and informed news stories (or so I thought). (See The Conversation (website) Wikipedia entry for more.)

Simmons (who is an academic) seems to have ‘written’ a run-of-the-mill public relations piece (with a good and accessible description of quantum encryption and its future importance) about Canada and quantum technology aimed at influencing government policy makers while using some magic words (Note: Links have been removed),

Canada is a world leader in developing quantum technologies and is well-positioned to secure its place in the emerging quantum industry.

Quantum technologies are new and emerging technologies based on the unique properties of quantum mechanics — the science that deals with the physical properties of nature on an atomic and subatomic level.

In the future, we’ll see quantum technology transforming computing, communications, cryptography and much more. They will be incredibly powerful, offering capabilities that reach beyond today’s technologies.

The potential impact of these technologies on the Canadian economy [emphasis mine] will be transformative: the National Research Council of Canada has identified quantum technology as a $142 billion opportunity that could employ 229,000 Canadians by 2040 [emphasis mine].

Canada could gain far-reaching economic and social benefits from the rapidly developing quantum industry, but it must act now to secure them — before someone else [emphasis mine] delivers the first large-scale quantum computer, which will likely be sooner than expected.

This is standard stuff, any professional business writer, after a little research, could have pulled the article together. But, it’s Stephanie Simmons whose academic titles (Associate Professor, SFU and Tier 2 Canada Research Chair in Silicon Quantum Technologies, Simon Fraser University) and position as founder and Chief Quantum Officer of Photonic, Inc. give her comments added weight. (For an academic, this is an unusual writing style [perhaps Simmons had some help?] and it better belongs in the newspapers I’ve previously cited.)

Simmons, having stoked a little anxiety with “it [Canada] must act now to secure them [economic and social benefits] — before someone else delivers the first large-scale quantum computer, which will likely be sooner than expected,” gets to her main points, from the October 31, 2022 essay,

To maintain its leadership, Canada needs to move beyond research and development and accelerate a quantum ecosystem that includes a strong talent pipeline, businesses supported by supply chains and governments and industry involvement. There are a few things Canada can do to drive this leadership:

Continue to fund quantum research: … The Canadian government has invested more than $1 billion since 2005 in quantum research and will likely announce a national quantum strategy soon [emphasis mine]. Canada must continue funding quantum research or risk losing its talent base and current competitive advantage. [Note: Canada has announced a national quantum strategy in both the 2021 and 2022 federal budgets See more under the ‘Don’t we already have a national quantum strategy? subhead]

Build our talent pipeline with more open immigration: …

Be our own best customers: Canadian companies are leading the way, but they need support [emphasis mine; by support, does she mean money?]. Quantum Industry Canada boasts of more than 30 member companies. Vancouver is home to the pioneering D-Wave and Photonic Inc., …

As noted in a previous post (July 26, 2022 titled “Quantum Mechanics & Gravity conference [August 15 – 19, 2022] launches Vancouver (Canada)-based Quantum Gravity Institute and more”), all of this enthusiasm tends to come down to money, as in, ‘We will make money which will somehow benefit you but, first, we need more money from you’. As for the exhortation to loosen up immigration, that sounds like an attempt to exacerbate ‘brain drain’, i.e., lure people from other countries to settle in Canada. As a country whose brains were drained in the 1960s, 70s, etc., it should be noted those drives were deeply resented here and I expect that we will become objects of resentment should we resort to the same tactics although I thought we already had.

Same anxieties, same solution

Simmons concludes with a cautionary tale, from the October 31, 2022 essay, Note: Links have been removed,

Canada has an opportunity to break out of its pattern of inventing transformative technology, but not reaping the rewards. This is what happened with the invention of the transistor.

The first transistor patent was actually filed in Canada by Canadian-Hungarian physicist Julius Edgar Lilienfeld, 20 years before the Bell Labs demonstration. Canada was also one of the places where Alexander Graham Bell worked to develop and patent the telephone.

Despite this, the transistor was commercialized in the U.S. and led to the country’s US$63 billion semiconductor industry. Bell commercialized the telephone through The Bell Telephone Company, which eventually became AT&T.

Canada is poised to make even greater contributions to quantum technology. Much existing technology has been invented here in Canada — including quantum cryptography, which was co-invented by University of Montreal professor Gilles Brassard. Instead of repeating its past mistakes, Canada should act now to secure the success of the quantum technology industry.

I bought into this narrative too. It’s compelling and generally accepted (in short, it’s a part of Canadian culture) but somebody who’s smarter about business and economics than I am pointed out that Canada has a good standard of living and has had that standard for many years despite decades of worry over our ‘inability’ to commercialize our discoveries. Following on that thought, what’s so bad about our situation? Are we behind because we don’t have a huge semiconductor industry? I don’t know but perhaps we need to question this narrative a little more closely. Where some people see loss, others might see agility, inventiveness, and the ability to keep capitalizing on early stage technology, over and over again.

What I haven’t yet seen discussed as a problem is a Canadian culture that encourages technology entrepreneurs to create startups with the intention of selling them to a big US (or other country) corporation. I’m most familiar with the situation in the province of British Columbia where a 2003 British Columbia Techmap (developed by the accounting firm PriceWaterhouseCoopers [PWC]) provides a genealogy which stretched from the 1890s to 2003. The number of technology companies acquired by foreign corporations is astonishing. Our technology has been bought—over and over, since the 1890s.

(I believe there were three editions of the British Columbia Techmap: 1997, 2003 and 2012. PWC seems to have discontinued publication and the 2012 online edition is no longer available. For the curious, there’s a June 15, 2012 announcement, which provides a little information about and interesting facts from the 2012 digital edition.)

This ‘startup and sell’ story holds true at the national level as well. We have some large technology companies but none of them compare to these: Huawei (China), Ali Baba (China), Intel (US), Apple (US), Siemens (Germany), Sanofi (France; technically a pharmaceutical but heavily invested in technology), etc.

So, is this “… inventing transformative technology, but not reaping the rewards …” really a problem when Canadians live well? If so, we need to change our entrepreneurial and business culture.

Don’t we already have a national quantum strategy?

It’s a little puzzling to see Simmons appear to be arguing for a national quantum strategy given this (from my July 26, 2022 posting),

A National Quantum Strategy was first announced in the 2021 Canadian federal budget and reannounced in the 2022 federal budget (see my April 19, 2022 posting for a few more budget details).. Or, you may find this National Quantum Strategy Consultations: What We Heard Report more informative. There’s also a webpage for general information about the National Quantum Strategy.

As evidence of action, the Natural Science and Engineering Research Council of Canada (NSERC) announced new grant programmes made possible by the National Quantum Strategy in a March 15, 2022 news release,

Quantum science and innovation are giving rise to promising advances in communications, computing, materials, sensing, health care, navigation and other key areas. The Government of Canada is committed to helping shape the future of quantum technology by supporting Canada’s quantum sector and establishing leadership in this emerging and transformative domain.

Today [March 15, 2022], the Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry, is announcing an investment of $137.9 million through the Natural Sciences and Engineering Research Council of Canada’s (NSERC) Collaborative Research and Training Experience (CREATE) grants and Alliance grants. These grants are an important next step in advancing the National Quantum Strategy and will reinforce Canada’s research strengths in quantum science while also helping to develop a talent pipeline to support the growth of a strong quantum community.

it gets even more puzzling when you know that Simmons is part of a Canadian Council of Academies (CCA) expert panel (announced in May 2022) to produce a report on Quantum Technologies,

Budget 2021 included a National Quantum Strategy [emphasis mine] to amplify Canada’s strength in quantum research, grow quantum-ready technologies, and solidify Canada’s global leadership in this area. A comprehensive exploration of the capabilities and potential vulnerabilities of these technologies will help to inform their future deployment across the society and the economy.

This assessment will examine the impacts, opportunities, and challenges quantum technologies present for industry, governments, and people in Canada. [emphases mine]

The Sponsor:

National Research Council Canada and Innovation, Science and Economic Development Canada [emphasis mine]

It’s possible someone else wrote the essay, someone who doesn’t know about the strategy or Simmons’ involvement in a CCA report on how to address the issues highlighted in her October 31, 2022 essay. It’s also possible that Simmons is trying to emphasize the need for a commercialization strategy for quantum technologies.

Given that the Council of Canadian Academies (CCA) was asked to produce what looks like a comprehensive national strategy including commercialization, I prefer the second possibility.

*ETA December 29, 2022 1020 hours PT: On a purely speculative note, I just noticed involvement from a US PR agency in this project, from my “Bank of Canada and Multiverse Computing model complex networks & cryptocurrencies with quantum computing” July 25, 2022 posting,

As for the company that produced the news release, HKA Marketing Communications, based in Southern California, they claim this “Specialists in Quantum Tech PR: #1 agency in this space” on their homepage.

Simmons is on the CCA’s Quantum Technologies’ expert panel along with Eric Santor, Advisor to the Governor, Bank of Canada. HKA’s involvement would certainly explain why the writer didn’t know there’s already a National Quantum Strategy and not know about Simmons’ membership in the expert panel. As I noted, this is pure speculation; I have no proof.*

At any rate, there may be another problem, our national quantum dilemma may be due to difficulties within the Canadian quantum community.

A fractious Canadian quantum community

I commented on the competitiveness within the quantum technologies community in my May 4, 2021 posting about the federal 2021 budget, “While the folks in the quantum world are more obviously competitive … ,” i.e., they are strikingly public in comparison to the genomic and artificial intelligence communities. Scroll down to the ‘National Quantum Strategy’ subhead in the May 4, 2021 posting for an example.

It can also be seen in my July 26, 2022 posting about the Vancouver (Canada) launch of the Quantum Gravity Institute where I noted the lack of Canadian physicists (not one from the CCA expert panel, the Perimeter Institute, or TRIUMF; Canada’s particle accelerator centre, or the Institute for Quantum Computing at the University of Waterloo) in the speaker list and the prominent role wealthy men who’ve taken up quantum science as a hobby played in its founding. BTW, it seems two Canadian physicists (in addition to Philip Stamp; all from the University of British Columbia) were added to the speaker list and D-Wave Systems was added to the institute’s/conference’s webpage sponsorship list (scroll down about 70% of the way) after I posted.

Hopefully the quantum science/research community will pull together, in public, at least.

Who is the audience?

Getting back to Simmons’ piece on The Conversation, her essay, especially one that appears to be part of a public relations campaign, can appeal to more than one audience. The trick, as all (script, news, business, public relations, science, etc.) writers will tell you, is to write for one audience. As counter-intuitive as that trick may seem, it works.

Canadian policy makers should already know that the federal government has announced a national quantum strategy in two different budgets. Additionally, affected scientists should already know about the national strategy, such as it is. Clearly, children are not the intended audience. Perhaps it’s intended for a business audience but the specific business case is quite weak and, as I’ve noted here and elsewhere, the ‘failure’ to take advantage of early developments is a well worn science business trope which ignores a Canadian business model focused on developing emerging technology then, selling it.

This leaves a ‘general’ audience as the only one left and that audience doesn’t tend to read The Conversation website. Here’s the description of the publisher from its Wikipedia entry, Note: Links have been removed,

The Conversation is a network of not-for-profit media outlets publishing news stories and research reports online, with accompanying expert opinion and analysis.[1][2] Articles are written by academics and researchers [emphasis mine]under a free Creative Commons license, allowing reuse without modification.[3][2] Its model has been described as explanatory journalism.[4][5][6] [emphasis mine] Except in “exceptional circumstances”, it only publishes articles by “academics employed by, or otherwise formally connected to, accredited institutions, including universities and accredited research bodies”.[7]: 8 

Simmons’ piece is not so much explanatory as it is a plea for a policy on a website that newspapers use for free, pre-edited, and proofed content.

I imagine the hope was that a Canadian national newspaper such as the Globe & Mail and/or the National Post would republish it. That hope was realized when the National Post and, unexpectedly, a local paper, the Winnipeg Free Press, both republished it on November 1, 2022.

To sum up, it’s not clear to me what the goal for this piece was. Government policy makers don’t need it, the business case is not sufficiently supported, children are not going to care, and affected scientists are already aware of the situation. (Scientists who will be not affected by a national quantum policy will have their own agendas.) As for a member of the general audience, am I supposed to do something … other than care, that is?

The meaning of a banana

It is an odd piece which may or may not be part of a larger public relations campaign.

As a standalone piece, it reiterates the age old message regarding Canadian technology (“we don’t do a good job of commercializing our technology) to no great avail. As part of a strategy, it seems to be a misfire since we already have a national quantum strategy and Simmons is working on an expert panel that should be delivering the kind of policy she’s requesting.

In the end, all that can be said for certain is that Stephanie Simmons’ October 31, 2022 essay on quantum technology and Canada was published in The Conversation then republished elsewhere.

As Freud may or may not have said, “Sometimes a banana is just a banana.”

Smart City tech brief: facial recognition, cybersecurity; privacy protection; and transparency

This May 10, 2022 Association for Computing Machinery (ACM) announcement (received via email) has an eye-catching head,

Should Smart Cities Adopt Facial Recognition, Remote Monitoring Software+Social Media to Police [verb] Info?

The Association for Computing Machinery, the largest and most prestigious computer science society worldwide (100,000 members) has released a report, ACM TechBrief: Smart Cities, for smart city planners to address 1) cybersecurity; 2) privacy protections; 3) fairness and transparency; and 4) sustainability when planning and designing systems, including climate impact. 

There’s a May 3, 2022 ACM news release about the latest technical brief,

The Association for Computing Machinery’s global Technology Policy Council (ACM TPC) just released, “ACM TechBrief: Smart Cities,” which highlights the challenges involved in deploying information and communication technology to create smart cities and calls for policy leaders planning such projects to do so without compromising security, privacy, fairness and sustainability. The TechBrief includes a primer on smart cities, key statistics about the growth and use of these technologies, and a short list of important policy implications.

“Smart cities” are municipalities that use a network of physical devices and computer technologies to make the delivery of public services more efficient and/or more environmentally friendly. Examples of smart city applications include using sensors to turn off streetlights when no one is present, monitoring traffic patterns to reduce roadway congestion and air pollution, or keeping track of home-bound medical patients in order to dispatch emergency responders when needed. Smart cities are an outgrowth of the Internet of Things (IoT), the rapidly growing infrastructure of literally billions of physical devices embedded with sensors that are connected to computers and the Internet.

The deployment of smart city technology is growing across the world, and these technologies offer significant benefits. For example, the TechBrief notes that “investing in smart cities could contribute significantly to achieving greenhouse gas emissions reduction targets,” and that “smart cities use digital innovation to make urban service delivery more efficient.”

Because of the meteoric growth and clear benefits of smart city technologies, the TechBrief notes that now is an urgent time to address some of the important public policy concerns that smart city technologies raise. The TechBrief lists four key policy implications that government officials, as well as the private companies that develop these technologies, should consider.

These include:

Cybersecurity risks must be considered at every stage of every smart city technology’s life cycle.

Effective privacy protection mechanisms must be an essential component of any smart city technology deployed.

Such mechanisms should be transparently fair to all city users, not just residents.

The climate impact of smart city infrastructures must be fully understood as they are being designed and regularly assessed after they are deployed

“Smart cities are fast becoming a reality around the world,”explains Chris Hankin, a Professor at Imperial College London and lead author of the ACM TechBrief on Smart Cities. “By 2025, 26% of all internet-connected devices will be used in a smart city application. As technologists, we feel we have a responsibility to raise important questions to ensure that these technologies best serve the public interest. For example, many people are unaware that some smart city technologies involve the collection of personally identifiable data. We developed this TechBrief to familiarize the public and lawmakers with this topic and present some key issues for consideration. Our overarching goal is to guide enlightened public policy in this area.”

“Our new TechBrief series builds on earlier and ongoing work by ACM’s technology policy committees,” added James Hendler, Professor at Rensselaer Polytechnic Institute and Chair of the ACM Technology Policy Council. “Because many smart city applications involve algorithms making decisions which impact people directly, this TechBrief calls for methods to ensure fairness and transparency in how these systems are developed. This reinforces an earlier statement we issued that outlined seven principles for algorithmic transparency and accountability. We also note that smart city infrastructures are especially vulnerable to malicious attacks.”

This TechBrief is the third in a series of short technical bulletins by ACM TPC that present scientifically grounded perspectives on the impact of specific developments or applications of technology. Designed to complement ACM’s activities in the policy arena, TechBriefs aim to inform policymakers, the public, and others about the nature and implications of information technologies. The first ACM TechBrief focused on climate change, while the second addressed facial recognition. Topics under consideration for future issues include quantum computing, election security, and encryption.

About the ACM Technology Policy Council

ACM’s global Technology Policy Council sets the agenda for ACM’s global policy activities and serves as the central convening point for ACM’s interactions with government organizations, the computing community, and the public in all matters of public policy related to computing and information technology. The Council’s members are drawn from ACM’s global membership. It coordinates the activities of ACM’s regional technology policy groups and sets the agenda for global initiatives to address evolving technology policy issues.

About ACM

ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.

This is indeed a brief. I recommend reading it as it provides a very good overview to the topic of ‘smart cities’ and raises a question or two. For example, there’s this passage from the April 2022 Issue 3 Technical Brief on p. 2,

… policy makers should target broad and fair access and application of AI and, in general, ICT [information and communication technologies]. This can be achieved through transparent planning and decision-making processes for smart city infrastructure and application developments, such as open hearings, focus groups, and advisory panels. The goal must be to minimize potential harm while maximizing the benefits that algorithmic decision-making [emphasis mine] can bring

Is this algorithmic decision-making under human supervision? It doesn’t seem to be specified in the brief itself. It’s possible the answer lies elsewhere. After all, this is the third in the series.

AI (artificial intelligence) and art ethics: a debate + a Botto (AI artist) October 2022 exhibition in the Uk

Who is an artist? What is an artist? Can everyone be an artist? These are the kinds of questions you can expect with the rise of artificially intelligent artists/collaborators. Of course, these same questions have been asked many times before the rise of AI (artificial intelligence) agents/programs in the field of visual art. Each time the questions are raised is an opportunity to examine our beliefs from a different perspective. And, not to be forgotten, there are questions about money.

The shock

First, the ‘art’,

The winning work. Colorado State Fair 2022. Screengrab from Discord [downloaded from https://www.artnews.com/art-news/news/colorado-state-fair-ai-generated-artwork-controversy-1234638022/]

Shanti Escalante-De Mattei’s September 1, 2022 article for ArtNews.com provides an overview of the latest AI art controversy (Note: A link has been removed),

The debate around AI art went viral once again when a man won first place at the Colorado State Fair’s art competition in the digital category with a work he made using text-to-image AI generator Midjourney.

Twitter user and digital artist Genel Jumalon tweeted out a screenshot from a Discord channel in which user Sincarnate, aka game designer Jason Allen, celebrated his win at the fair. Jumalon wrote, “Someone entered an art competition with an AI-generated piece and won the first prize. Yeah that’s pretty fucking shitty.”

The comments on the post range from despair and anger as artists, both digital and traditional, worry that their livelihoods might be at stake after years of believing that creative work would be safe from AI-driven automation. [emphasis mine]

Rachel Metz’s September 3, 2022 article for CNN provides more details about how the work was generated (Note: Links have been removed),

Jason M. Allen was almost too nervous to enter his first art competition. Now, his award-winning image is sparking controversy about whether art can be generated by a computer, and what, exactly, it means to be an artist.

In August [2022], Allen, a game designer who lives in Pueblo West, Colorado, won first place in the emerging artist division’s “digital arts/digitally-manipulated photography” category at the Colorado State Fair Fine Arts Competition. His winning image, titled “Théâtre D’opéra Spatial” (French for “Space Opera Theater”), was made with Midjourney — an artificial intelligence system that can produce detailed images when fed written prompts. A $300 prize accompanied his win.

Allen’s winning image looks like a bright, surreal cross between a Renaissance and steampunk painting. It’s one of three such images he entered in the competition. In total, 11 people entered 18 pieces of art in the same category in the emerging artist division.

The definition for the category in which Allen competed states that digital art refers to works that use “digital technology as part of the creative or presentation process.” Allen stated that Midjourney was used to create his image when he entered the contest, he said.

The newness of these tools, how they’re used to produce images, and, in some cases, the gatekeeping for access to some of the most powerful ones has led to debates about whether they can truly make art or assist humans in making art.

This came into sharp focus for Allen not long after his win. Allen had posted excitedly about his win on Midjourney’s Discord server on August 25 [2022], along with pictures of his three entries; it went viral on Twitter days later, with many artists angered by Allen’s win because of his use of AI to create the image, as a story by Vice’s Motherboard reported earlier this week.

“This sucks for the exact same reason we don’t let robots participate in the Olympics,” one Twitter user wrote.

“This is the literal definition of ‘pressed a few buttons to make a digital art piece’,” another Tweeted. “AI artwork is the ‘banana taped to the wall’ of the digital world now.”

Yet while Allen didn’t use a paintbrush to create his winning piece, there was plenty of work involved, he said.

“It’s not like you’re just smashing words together and winning competitions,” he said.

You can feed a phrase like “an oil painting of an angry strawberry” to Midjourney and receive several images from the AI system within seconds, but Allen’s process wasn’t that simple. To get the final three images he entered in the competition, he said, took more than 80 hours.

First, he said, he played around with phrasing that led Midjourney to generate images of women in frilly dresses and space helmets — he was trying to mash up Victorian-style costuming with space themes, he said. Over time, with many slight tweaks to his written prompt (such as to adjust lighting and color harmony), he created 900 iterations of what led to his final three images. He cleaned up those three images in Photoshop, such as by giving one of the female figures in his winning image a head with wavy, dark hair after Midjourney had rendered her headless. Then he ran the images through another software program called Gigapixel AI that can improve resolution and had the images printed on canvas at a local print shop.

Ars Technica has run a number of articles on the subject of Art and AI, Benj Edwards in an August 31, 2022 article seems to have been one of the first to comment on Jason Allen’s win (Note 1: Links have been removed; Note 2: Look at how Edwards identifies Jason Allen as an artist),

A synthetic media artist named Jason Allen entered AI-generated artwork into the Colorado State Fair fine arts competition and announced last week that he won first place in the Digital Arts/Digitally Manipulated Photography category, Vice reported Wednesday [August 31, 2022?] based on a viral tweet.

Allen’s victory prompted lively discussions on Twitter, Reddit, and the Midjourney Discord server about the nature of art and what it means to be an artist. Some commenters think human artistry is doomed thanks to AI and that all artists are destined to be replaced by machines. Others think art will evolve and adapt with new technologies that come along, citing synthesizers in music. It’s a hot debate that Wired covered in July [2022].

It’s worth noting that the invention of the camera in the 1800s prompted similar criticism related to the medium of photography, since the camera seemingly did all the work compared to an artist that labored to craft an artwork by hand with a brush or pencil. Some feared that painters would forever become obsolete with the advent of color photography. In some applications, photography replaced more laborious illustration methods (such as engraving), but human fine art painters are still around today.

Benj Edwards in a September 12, 2022 article for Ars Technica examines how some art communities are responding (Note: Links have been removed),

Confronted with an overwhelming amount of artificial-intelligence-generated artwork flooding in, some online art communities have taken dramatic steps to ban or curb its presence on their sites, including Newgrounds, Inkblot Art, and Fur Affinity, according to Andy Baio of Waxy.org.

Baio, who has been following AI art ethics closely on his blog, first noticed the bans and reported about them on Friday [Sept. 9, 2022?]. …

The arrival of widely available image synthesis models such as Midjourney and Stable Diffusion has provoked an intense online battle between artists who view AI-assisted artwork as a form of theft (more on that below) and artists who enthusiastically embrace the new creative tools.

… a quickly evolving debate about how art communities (and art professionals) can adapt to software that can potentially produce unlimited works of beautiful art at a rate that no human working without the tools could match.

A few weeks ago, some artists began discovering their artwork in the Stable Diffusion data set, and they weren’t happy about it. Charlie Warzel wrote a detailed report about these reactions for The Atlantic last week [September 7, 2022]. With battle lines being drawn firmly in the sand and new AI creativity tools coming out steadily, this debate will likely continue for some time to come.

Filthy lucre becomes more prominent in the conversation

Lizzie O’Leary in a September 12, 2022 article for Fast Company presents a transcript of an interview (from the TBD podcast) she conducted with Drew Harwell, tech reporter covering A.I. for Washington Post) about the ‘Jason Allen’ win,

I’m struck by how quickly these art A.I.s are advancing. DALL-E was released in January of last year and there were some pretty basic images. And then, a year later, DALL-E 2 is using complex, faster methods. Midjourney, the one Jason Allen used, has a feature that allows you to upscale and downscale images. Where is this sudden supply and demand for A.I. art coming from?

You could look back to five years ago when they had these text-to-image generators and the output would be really crude. You could sort of see what the A.I. was trying to get at, but we’ve only really been able to cross that photorealistic uncanny valley in the last year or so. And I think the things that have contributed to that are, one, better data. You’re seeing people invest a lot of money and brainpower and resources into adding more stuff into bigger data sets. We have whole groups that are taking every image they can get on the internet. Billions, billions of images from Pinterest and Amazon and Facebook. You have bigger data sets, so the A.I. is learning more. You also have better computing power, and those are the two ingredients to any good piece of A.I. So now you have A.I. that is not only trained to understand the world a little bit better, but it can now really quickly spit out a very finely detailed generated image.

Is there any way to know, when you look at a piece of A.I. art, what images it referenced to create what it’s doing? Or is it just so vast that you can’t kind of unspool it backward?

When you’re doing an image that’s totally generated out of nowhere, it’s taking bits of information from billions of images. It’s creating it in a much more sophisticated way so that it’s really hard to unspool.

Art generated by A.I. isn’t just a gee-whiz phenomenon, something that wins prizes, or even a fascinating subject for debate—it has valuable commercial uses, too. Some that are a little frightening if you’re, say, a graphic designer.

You’re already starting to see some of these images illustrating news articles, being used as logos for companies, being used in the form of stock art for small businesses and websites. Anything where somebody would’ve gone and paid an illustrator or graphic designer or artist to make something, they can now go to this A.I. and create something in a few seconds that is maybe not perfect, maybe would be beaten by a human in a head-to-head, but is good enough. From a commercial perspective, that’s scary, because we have an industry of people whose whole job is to create images, now running up against A.I.

And the A.I., again, in the last five years, the A.I. has gotten better and better. It’s still not perfect. I don’t think it’ll ever be perfect, whatever that looks like. It processes information in a different, maybe more literal, way than a human. I think human artists will still sort of have the upper hand in being able to imagine things a little more outside of the box. And yet, if you’re just looking for three people in a classroom or a pretty simple logo, you’re going to go to A.I. and you’re going to take potentially a job away from a freelancer whom you would’ve given it to 10 years ago.

I can see a use case here in marketing, in advertising. The A.I. doesn’t need health insurance, it doesn’t need paid vacation days, and I really do wonder about this idea that the A.I. could replace the jobs of visual artists. Do you think that is a legitimate fear, or is that overwrought at this moment?

I think it is a legitimate fear. When something can mirror your skill set, not 100 percent of the way, but enough of the way that it could replace you, that’s an issue. Do these A.I. creators have any kind of moral responsibility to not create it because it could put people out of jobs? I think that’s a debate, but I don’t think they see it that way. They see it like they’re just creating the new generation of digital camera, the new generation of Photoshop. But I think it is worth worrying about because even compared with cameras and Photoshop, the A.I. is a little bit more of the full package and it is so accessible and so hard to match in terms. It’s really going to be up to human artists to find some way to differentiate themselves from the A.I.

This is making me wonder about the humans underneath the data sets that the A.I. is trained on. The criticism is, of course, that these businesses are making money off thousands of artists’ work without their consent or knowledge and it undermines their work. Some people looked at the Stable Diffusion and they didn’t have access to its whole data set, but they found that Thomas Kinkade, the landscape painter, was the most referenced artist in the data set. Is the A.I. just piggybacking? And if it’s not Thomas Kinkade, if it’s someone who’s alive, are they piggybacking on that person’s work without that person getting paid?

Here’s a bit more on the topic of money and art in a September 19, 2022 article by John Herrman for New York Magazine. First, he starts with the literary arts, Note: Links have been removed,

Artificial-intelligence experts are excited about the progress of the past few years. You can tell! They’ve been telling reporters things like “Everything’s in bloom,” “Billions of lives will be affected,” and “I know a person when I talk to it — it doesn’t matter whether they have a brain made of meat in their head.”

We don’t have to take their word for it, though. Recently, AI-powered tools have been making themselves known directly to the public, flooding our social feeds with bizarre and shocking and often very funny machine-generated content. OpenAI’s GPT-3 took simple text prompts — to write a news article about AI or to imagine a rose ceremony from The Bachelor in Middle English — and produced convincing results.

Deepfakes graduated from a looming threat to something an enterprising teenager can put together for a TikTok, and chatbots are occasionally sending their creators into crisis.

More widespread, and probably most evocative of a creative artificial intelligence, is the new crop of image-creation tools, including DALL-E, Imagen, Craiyon, and Midjourney, which all do versions of the same thing. You ask them to render something. Then, with models trained on vast sets of images gathered from around the web and elsewhere, they try — “Bart Simpson in the style of Soviet statuary”; “goldendoodle megafauna in the streets of Chelsea”; “a spaghetti dinner in hell”; “a logo for a carpet-cleaning company, blue and red, round”; “the meaning of life.”

This flood of machine-generated media has already altered the discourse around AI for the better, probably, though it couldn’t have been much worse. In contrast with the glib intra-VC debate about avoiding human enslavement by a future superintelligence, discussions about image-generation technology have been driven by users and artists and focus on labor, intellectual property, AI bias, and the ethics of artistic borrowing and reproduction [emphasis mine]. Early controversies have cut to the chase: Is the guy who entered generated art into a fine-art contest in Colorado (and won!) an asshole? Artists and designers who already feel underappreciated or exploited in their industries — from concept artists in gaming and film and TV to freelance logo designers — are understandably concerned about automation. Some art communities and marketplaces have banned AI-generated images entirely.

Requests are effectively thrown into “a giant swirling whirlpool” of “10,000 graphics cards,” Holz [David Holz, Midjourney founder] said, after which users gradually watch them take shape, gaining sharpness but also changing form as Midjourney refines its work.

This hints at an externality beyond the worlds of art and design. “Almost all the money goes to paying for those machines,” Holz said. New users are given a small number of free image generations before they’re cut off and asked to pay; each request initiates a massive computational task, which means using a lot of electricity.

High compute costs [emphasis mine] — which are largely energy costs — are why other services have been cautious about adding new users. …

Another Midjourney user, Gila von Meissner, is a graphic designer and children’s-book author-illustrator from “the boondocks in north Germany.” Her agent is currently shopping around a book that combines generated images with her own art and characters. Like Pluckebaum [Brian Pluckebaum who works in automotive-semiconductor marketing and designs board games], she brought up the balance of power with publishers. “Picture books pay peanuts,” she said. “Most illustrators struggle financially.” Why not make the work easier and faster? “It’s my character, my edits on the AI backgrounds, my voice, and my story.” A process that took months now takes a week, she said. “Does that make it less original?”

User MoeHong, a graphic designer and typographer for the state of California, has been using Midjourney to make what he called generic illustrations (“backgrounds, people at work, kids at school, etc.”) for government websites, pamphlets, and literature: “I get some of the benefits of using custom art — not that we have a budget for commissions! — without the paying-an-artist part.” He said he has mostly replaced stock art, but he’s not entirely comfortable with the situation. “I have a number of friends who are commercial illustrators, and I’ve been very careful not to show them what I’ve made,” he said. He’s convinced that tools like this could eventually put people in his trade out of work. “But I’m already in my 50s,” he said, “and I hope I’ll be gone by the time that happens.”

Fan club

The last article I’m featuring here is a September 15, 2021 piece by Agnieszka Cichocka for DailyArt, which provides good, brief descriptions of algorithms, generative creative networks, machine learning, artificial neural networks, and more. She is an enthusiast (Note: Links have been removed),

I keep wondering if Leonardo da Vinci, who, in my opinion, was the most forward thinking artist of all time, would have ever imagined that art would one day be created by AI. He worked on numerous ideas and was constantly experimenting, and, although some were failures, he persistently tried new products, helping to move our world forward. Without such people, progress would not be possible. 

Machine Learning

As humans, we learn by acquiring knowledge through observations, senses, experiences, etc. This is similar to computers. Machine learning is a process in which a computer system learns how to perform a task better in two ways—either through exposure to environments that provide punishments and rewards (reinforcement learning) or by training with specific data sets (the system learns automatically and improves from previous experiences). Both methods help the systems improve their accuracy. Machines then use patterns and attempt to make an accurate analysis of things they have not seen before. To give an example, let’s say we feed the computer with thousands of photos of a dog. Consequently, it can learn what a dog looks like based on those. Later, even when faced with a picture it has never seen before, it can tell that the photo shows a dog.

If you want to see some creative machine learning experiments in art, check out ML x ART. This is a website with hundreds of artworks created using AI tools.

Some thoughts

As the saying goes “a picture is worth a thousand words” and, now, It seems that pictures will be made from words or so suggests the example of Jason M. Allen feeding prompts to the AI system Midjourney.

I suspect (as others have suggested) that in the end, artists who use AI systems will be absorbed into the art world in much the same way as artists who use photography, or are considered performance artists and/or conceptual artists, and/or use video have been absorbed. There will be some displacements and discomfort as the questions I opened this posting with (Who is an artist? What is an artist? Can everyone be an artist?) are passionately discussed and considered. Underlying many of these questions is the issue of money.

The impact on people’s livelihoods is cheering or concerning depending on how the AI system is being used. Herrman’s September 19, 2022 article highlights two examples that focus on graphic designers. Gila von Meissner, the illustrator and designer, who uses her own art to illustrate her children’s books in a faster, more cost effective way with an AI system and MoeHong, a graphic designer for the state of California, who uses an AI system to make ‘customized generic art’ for which the state government doesn’t have to pay.

So far, the focus has been on Midjourney and other AI agents that have been created by developers for use by visual artists and writers. What happens when the visual artist or the writer is the developer? A September 12, 2022 article by Brandon Scott Roye for Cool Hunting approaches the question (Note: Links have been removed),

Mario Klingemann and Sasha Stiles on Semi-Autonomous AI Artists

An artist and engineer at the forefront of generating AI artwork, Mario Klingemann and first-generation Kalmyk-American poet, artist and researcher Sasha Stiles both approach AI from a more human, personal angle. Creators of semi-autonomous systems, both Klingemann and Stiles are the minds behind Botto and Technelegy, respectively. They are both artists in their own right, but their creations are too. Within web3, the identity of the “artist” who creates with visuals and the “writer” who creates with words is enjoying a foundational shift and expansion. Many have fashioned themselves a new title as “engineer.”

Based on their primary identities as an artist and poet, Klingemann and Stiles face the conundrum of becoming engineers who design the tools, rather than artists responsible for the final piece. They now have the ability to remove themselves from influencing inputs and outputs.

If you have time, I suggest reading Roye’s September 12, 2022 article as it provides some very interesting ideas although I don’t necessarily agree with them, e.g., “They now have the ability to remove themselves from influencing inputs and outputs.” Anyone who’s following the ethics discussion around AI knows that biases are built into the algorithms whether we like it or not. As for artists and writers calling themselves ‘engineers’, they may get a little resistance from the engineering community.

As users of open source software, Klingemann and Stiles should not have to worry too much about intellectual property. However, it seems copyright for the actual works and patents for the software could raise some interesting issues especially since money is involved.

In a March 10, 2022 article by Shraddha Nair for Stir World, Klingemann claims to have made over $1M from auctions of Botto’s artworks. it’s not clear to me where Botto obtains its library of images for future use (which may signal a potential problem); Stiles’ Technelegy creates poems from prompts using its library of her poems. (For the curious, I have an August 30, 2022 post “Should AI algorithms get patents for their inventions and is anyone talking about copyright for texts written by AI algorithms?” which explores some of the issues around patents.)

Who gets the patent and/or the copyright? Assuming you and I are employing machine learning to train our AI agents separately, could there be an argument that if my version of the AI is different than yours and proves more popular with other content creators/ artists that I should own/share the patent to the software and rights to whatever the software produces?

Getting back to Herrman’s comment about high compute costs and energy, we seem to have an insatiable appetite for energy and that is not only a high cost financially but also environmentally.

Botto exhibition

Here’s more about Klingemann’s artist exhibition by Botto (from an October 6, 2022 announcement received via email),

Mario Klingemann is a pioneering figurehead in the field of AI art,
working deep in the field of Machine Learning. Governed by a community
of 5,000 people, Klingemann developed Botto around an idea of creating
an autonomous entity that is able to be creative and co-creative.
Inspired by Goethe’s artificial man in Faust, Botto is a genderless AI
entity that is guided by an international community and art historical
trends. Botto creates 350 art pieces per week that are presented to its
community. Members of the community give feedback on these art fragments
by voting, expressing their individual preferences on what is
aesthetically pleasing to them. Then collectively the votes are used as
feedback for Botto’s generative algorithm, dictating what direction
Botto should take in its next series of art pieces.

The creative capacity of its algorithm is far beyond the capacities of
an individual to combine and find relationships within all the
information available to the AI. Botto faces similar issues as a human
artist, and it is programmed to self-reflect and ask, “I’ve created
this type of work before. What can I show them that’s different this
week?”

Once a week, Botto auctions the art fragment with the most votes on
SuperRare. All proceeds from the auction go back to the community. The
AI artist auctioned its first three pieces, Asymmetrical Liberation,
Scene Precede, and Trickery Contagion for more than $900,000 dollars,
the most successful AI artist premiere. Today, Botto has produced
upwards of 22 artworks and current sales have generated over $2 million
in total
[emphasis mine].

From March 2022 when Botto had made $1M to October 2022 where it’s made over $2M. It seems Botto is a very financially successful artist.

Botto: A Whole Year of Co-Creation

This exhibition (October 26 – 30, 2022) is being held in London, England at this location:

The Department Store, Brixton 248 Ferndale Road London SW9 8FR United Kingdom

Enjoy!

Ancient Namibian gemstone could be key to new light-based quantum computers

Researchers in Scotland, the US, Australia, and Denmark have a found a solution to a problem with creating light-based computers according to an April 15, 2022 news item on phys.org,

A special form of light made using an ancient Namibian gemstone could be the key to new light-based quantum computers, which could solve long-held scientific mysteries, according to new research led by the University of St Andrews.

The research, conducted in collaboration with scientists at Harvard University in the US, Macquarie University in Australia and Aarhus University in Denmark and published in Nature Materials, used a naturally mined cuprous oxide (Cu2O) gemstone from Namibia to produce Rydberg polaritons, the largest hybrid particles of light and matter ever created.

Cuprous oxide – the mined crystal from Namibia used for making Rydberg polaritons. Courtesy: University of St. Andrews

An April 15, 2022 University of St. Andrews press release, which originated the news item, describes Rydberg polaritons and explains why they could be the key to light-based quantum computing,

Rydberg polaritons switch continually from light to matter and back again. In Rydberg polaritons, light and matter are like two sides of a coin, and the matter side is what makes polaritons interact with each other.

This interaction is crucial because this is what allows the creation of quantum simulators, a special type of quantum computer, where information is stored in quantum bits. These quantum bits [qubits], unlike the binary bits in classical computers that can only be 0 or 1, can take any value between 0 and 1. They can therefore store much more information and perform several processes simultaneously.

This capability could allow quantum simulators to solve important mysteries of physics, chemistry and biology, for example, how to make high-temperature superconductors for highspeed trains, how cheaper fertilisers could be made potentially solving global hunger, or how proteins fold making it easier to produce more effective drugs.

Project lead Dr Hamid Ohadi, of the School of Physics and Astronomy at the University of St Andrews, said: “Making a quantum simulator with light is the holy grail of science. We have taken a huge leap towards this by creating Rydberg polaritons, the key ingredient of it.”

To create Rydberg polaritons, the researchers trapped light between two highly reflective mirrors. A cuprous oxide crystal from a stone mined in Namibia was then thinned and polished to a 30-micrometer thick slab (thinner than a strand of human hair) and sandwiched between the two mirrors to make Rydberg polaritons 100 times larger than ever demonstrated before.

One of the leading authors Dr Sai Kiran Rajendran, of the School of Physics and Astronomy at the University of St Andrews, said: “Purchasing the stone on eBay was easy. The challenge was to make Rydberg polaritons that exist in an extremely narrow colour range.”

The team is currently further refining these methods in order to explore the possibility of making quantum circuits, which are the next ingredient for quantum simulators.

The research was funded by UK Engineering and Physical Sciences Research Council (EPSRC).

Here’s a link to and a citation for the paper,

Rydberg exciton–polaritons in a Cu2O microcavity by Konstantinos Orfanakis, Sai Kiran Rajendran, Valentin Walther, Thomas Volz, Thomas Pohl & Hamid Ohadi. Nature Materials (2022) DOI: DOIhttps://doi.org/10.1038/s41563-022-01230-4 Published: 14 April 2022

This paper is behind a paywall.

AI & creativity events for August and September 2022 (mostly)

This information about these events and papers comes courtesy of the Metacreation Lab for Creative AI (artificial intelligence) at Simon Fraser University and, as usual for the lab, the emphasis is on music.

Music + AI Reading Group @ Mila x Vector Institute

Philippe Pasquier, Metacreation Lab director and professor, is giving a presentation on Friday, August 12, 2022 at 11 am PST (2 pm EST). Here’s more from the August 10, 2022 Metacreation Lab announcement (received via email),

Metacreaton Lab director Philippe Pasquier and PhD researcher Jeff Enns will be presenting next week [tomorrow on August 12 ,2022] at the Music + AI Reading Group hosted by Mila. The presentation will be available as a Zoom meeting. 

Mila is a community of more than 900 researchers specializing in machine learning and dedicated to scientific excellence and innovation. The institute is recognized for its expertise and significant contributions in areas such as modelling language, machine translation, object recognition and generative models.

I believe it’s also possible to view the presentation from the Music + AI Reading Group at MILA: presentation by Dr. Philippe Pasquier webpage on the Simon Fraser University website.

For anyone curious about Mila – Québec Artificial Intelligence Institute (based in Montréal) and the Vector Institute for Artificial Intelligence (based in Toronto), both are part of the Pan-Canadian Artificial Intelligence Strategy (a Canadian federal government funding initiative).

Getting back to the Music + AI Reading Group @ Mila x Vector Institute, there is an invitation to join the group which meets every Friday at 2 pm EST, from the Google group page,

unread,Feb 24, 2022, 2:47:23 PMto Community Announcements🎹🧠🚨Online Music + AI Reading Group @ Mila x Vector Institute 🎹🧠🚨

Dear members of the ISMIR [International Society for Music Information Retrieval] Community,

Together with fellow researchers at Mila (the Québec AI Institute) in Montréal, canada [sic], we have the pleasure of inviting you to join the Music + AI Reading Group @ Mila x Vector Institute. Our reading group gathers every Friday at 2pm Eastern Time. Our purpose is to build an interdisciplinary forum of researchers, students and professors alike, across industry and academia, working at the intersection of Music and Machine Learning. 

During each meeting, a speaker presents a research paper of their choice during 45’, leaving 15 minutes for questions and discussion. The purpose of the reading group is to :
– Gather a group of Music+AI/HCI [human-computer interface]/others people to share their research, build collaborations, and meet peer students. We are not constrained to any specific research directions, and all people are welcome to contribute.
– People share research ideas and brainstorm with others.
– Researchers not actively working on music-related topics but interested in the field can join and keep up with the latest research in the area, sharing their thoughts and bringing in their own backgrounds.

Our topics of interest cover (beware : the list is not exhaustive !) :
🎹 Music Generation
🧠 Music Understanding
📇 Music Recommendation
🗣  Source Separation and Instrument Recognition
🎛  Acoustics
🗿 Digital Humanities …
🙌  … and more (we are waiting for you :]) !


If you wish to attend one of our upcoming meetings, simply join our Google Group : https://groups.google.com/g/music_reading_group. You will automatically subscribe to our weekly mailing list and be able to contact other members of the group.

Here is the link to our Youtube Channel where you’ll find recordings of our past meetings : https://www.youtube.com/channel/UCdrzCFRsIFGw2fiItAk5_Og.
Here are general information about the reading group (presentation slides) : https://docs.google.com/presentation/d/1zkqooIksXDuD4rI2wVXiXZQmXXiAedtsAqcicgiNYLY/edit?usp=sharing.

Finally, if you would like to contribute and give a talk about your own research, feel free to fill in the following spreadhseet in the slot of your choice ! —> https://docs.google.com/spreadsheets/d/1skb83P8I30XHmjnmyEbPAboy3Lrtavt_jHrD-9Q5U44/edit?usp=sharing

Bravo to the two student organizers for putting this together!

Calliope Composition Environment for music makers

From the August 10, 2022 Metacreation Lab announcement,

Calling all music makers! We’d like to share some exciting news on one of the latest music creation tools from its creators, and   .

Calliope is an interactive environment based on MMM for symbolic music generation in computer-assisted composition. Using this environment, the user can generate or regenerate symbolic music from a “seed” MIDI file by using a practical and easy-to-use graphical user interface (GUI). Through MIDI streaming, the  system can interface with your favourite DAW (Digital Audio Workstation) such as Ableton Live, allowing creators to combine the possibilities of generative composition with their preferred virtual instruments sound design environments.

The project has now entered an open beta-testing phase, and inviting music creators to try the compositional system on their own! Head to the metacreation website to learn more and register for the beta testing.

Learn More About Calliope Here

You can also listen to a Calliope piece “the synthrider,” an Italo-disco fantasy of a machine, by Philippe Pasquier and Renaud Bougueng Tchemeube for the 2022 AI Song Contest.

3rd Conference on AI Music Creativity (AIMC 2022)

This in an online conference and it’s free but you do have to register. From the August 10, 2022 Metacreation Lab announcement,

Registration has opened  for the 3rd Conference on AI Music Creativity (AIMC 2022), which will be held 13-15 September, 2022. The conference features 22 accepted papers, 14 music works, and 2 workshops. Registered participants will get full access to the scientific and artistic program, as well as conference workshops and virtual social events. 

The full conference program is now available online

Registration, free but mandatory, is available here:

Free Registration for AIMC 2022 

The conference theme is “The Sound of Future Past — Colliding AI with Music Tradition” and I noticed that a number of the organizers are based in Japan. Often, the organizers’ home country gets some extra time in the spotlight, which is what makes these international conferences so interesting and valuable.

Autolume Live

This concerns generative adversarial networks (GANs) and a paper proposing “… Autolume-Live, the first GAN-based live VJing-system for controllable video generation.”

Here’s more from the August 10, 2022 Metacreation Lab announcement,

Jonas Kraasch & Phiippe Pasquier recently presented their latest work on the Autolume system at xCoAx, the 10th annual Conference on Computation, Communication, Aesthetics & X. Their paper is an in-depth exploration of the ways that creative artificial intelligence is increasingly used to generate static and animated visuals. 

While there are a host of systems to generate images, videos and music videos, there is a lack of real-time video synthesisers for live music performances. To address this gap, Kraasch and Pasquier propose Autolume-Live, the first GAN-based live VJing-system for controllable video generation.

Autolume Live on xCoAx proceedings  

As these things go, the paper is readable even by nonexperts (assuming you have some tolerance for being out of your depth from time to time). Here’s an example of the text and an installation (in Kelowna, BC) from the paper, Autolume-Live: Turning GANsinto a Live VJing tool,

Due to the 2020-2022 situation surrounding COVID-19, we were unable to use
our system to accompany live performances. We have used different iterations
of Autolume-Live to create two installations. We recorded some curated sessions
and displayed them at the Distopya sound art festival in Istanbul 2021 (Dystopia
Sound and Art Festival 2021) and Light-Up Kelowna 2022 (ARTSCO 2022) [emphasis mine]. In both iterations, we let the audio mapping automatically generate the video without using any of the additional image manipulations. These installations show
that the system on its own is already able to generate interesting and responsive
visuals for a musical piece.

For the installation at the Distopya sound art festival we trained a Style-GAN2 (-ada) model on abstract paintings and rendered a video using the de-scribed Latent Space Traversal mapping. For this particular piece we ran a super-resolution model on the final video as the original video output was in 512×512 and the wanted resolution was 4k. For our piece at Light-Up Kelowna [emphasis mine] we ran Autolume-Live with the Latent Space Interpolation mapping. The display included three urban screens, which allowed us to showcase three renders at the same time. We composed a video triptych using a dataset of figure drawings, a dataset of medical sketches and to tie the two videos together a model trained on a mixture of both datasets.

I found some additional information about the installation in Kelowna (from a February 7, 2022 article in The Daily Courier),

The artwork is called ‘Autolume Acedia’.

“(It) is a hallucinatory meditation on the ancient emotion called acedia. Acedia describes a mixture of contemplative apathy, nervous nostalgia, and paralyzed angst,” the release states. “Greek monks first described this emotion two millennia ago, and it captures the paradoxical state of being simultaneously bored and anxious.”

Algorithms created the set-to-music artwork but a team of humans associated with Simon Fraser University, including Jonas Kraasch and Philippe Pasquier, was behind the project.

These are among the artistic images generated by a form of artificial intelligence now showing nightly on the exterior of the Rotary Centre for the Arts in downtown Kelowna. [downloaded from https://www.kelownadailycourier.ca/news/article_6f3cefea-886c-11ec-b239-db72e804c7d6.html]

You can find the videos used in the installation and more information on the Metacreation Lab’s Autolume Acedia webpage.

Movement and the Metacreation Lab

Here’s a walk down memory lane: Tom Calvert, a professor at Simon Fraser University (SFU) and deceased September 28, 2021, laid the groundwork for SFU’s School of Interactive Arts & Technology (SIAT) and, in particular studies in movement. From SFU’s In memory of Tom Calvert webpage,

As a researcher, Tom was most interested in computer-based tools for user interaction with multimedia systems, human figure animation, software for dance, and human-computer interaction. He made significant contributions to research in these areas resulting in the Life Forms system for human figure animation and the DanceForms system for dance choreography. These are now developed and marketed by Credo Interactive Inc., a software company of which he was CEO.

While the Metacreation Lab is largely focused on music, other fields of creativity are also studied, from the August 10, 2022 Metacreation Lab announcement,

MITACS Accelerate award – partnership with Kinetyx

We are excited to announce that the Metacreation Lab researchers will be expanding their work on motion capture and movement data thanks to a new MITACS Accelerate research award. 

The project will focus on ​​body pose estimation using Motion Capture data acquisition through a partnership with Kinetyx, a Calgary-based innovative technology firm that develops in-shoe sensor-based solutions for a broad range of sports and performance applications.

Movement Database – MoDa

On the subject of motion data and its many uses in conjunction with machine learning and AI, we invite you to check out the extensive Movement Database (MoDa), led by transdisciplinary artist and scholar Shannon Cyukendall, and AI Researcher Omid Alemi. 

Spanning a wide range of categories such as dance, affect-expressive movements, gestures, eye movements, and more, this database offers a wealth of experiments and captured data available in a variety of formats.

Explore the MoDa Database

MITACS (originally a federal government mathematics-focused Network Centre for Excellence) is now a funding agency (most of the funds they distribute come from the federal government) for innovation.

As for the Calgary-based company (in the province of Alberta for those unfamiliar with Canadian geography), here they are in their own words (from the Kinetyx About webpage),

Kinetyx® is a diverse group of talented engineers, designers, scientists, biomechanists, communicators, and creators, along with an energy trader, and a medical doctor that all bring a unique perspective to our team. A love of movement and the science within is the norm for the team, and we’re encouraged to put our sensory insoles to good use. We work closely together to make movement mean something.

We’re working towards a future where movement is imperceptibly quantified and indispensably communicated with insights that inspire action. We’re developing sensory insoles that collect high-fidelity data where the foot and ground intersect. Capturing laboratory quality data, out in the real world, unlocking entirely new ways to train, study, compete, and play. The insights we provide will unlock unparalleled performance, increase athletic longevity, and provide a clear path to return from injury. We transform lives by empowering our growing community to remain moved.

We believe that high quality data is essential for us to have a meaningful place in the Movement Metaverse [1]. Our team of engineers, sport scientists, and developers work incredibly hard to ensure that our insoles and the insights we gather from them will meet or exceed customer expectations. The forces that are created and experienced while standing, walking, running, and jumping are inferred by many wearables, but our sensory insoles allow us to measure, in real-time, what’s happening at the foot-ground intersection. Measurements of force and power in addition to other traditional gait metrics, will provide a clear picture of a part of the Kinesome [2] that has been inaccessible for too long. Our user interface will distill enormous amounts of data into meaningful insights that will lead to positive behavioral change. 

[1] The Movement Metaverse is the collection of ever-evolving immersive experiences that seamlessly span both the physical and virtual worlds with unprecedented interoperability.

[2] Kinesome is the dynamic characterization and quantification encoded in an individual’s movement and activity. Broadly; an individual’s unique and dynamic movement profile. View the kinesome nft. [Note: Was not able to successfully open link as of August 11, 2022)

“… make movement mean something … .” Really?

The reference to “… energy trader …” had me puzzled but an August 11, 2022 Google search at 11:53 am PST unearthed this,

An energy trader is a finance professional who manages the sales of valuable energy resources like gas, oil, or petroleum. An energy trader is expected to handle energy production and financial matters in such a fast-paced workplace.May 16, 2022

Perhaps a new meaning for the term is emerging?

AI and visual art show in Vancouver (Canada)

The Vancouver Art Gallery’s (VAG) latest exhibition, “The Imitation Game: Visual Culture in the Age of Artificial Intelligence” is running March 5, 2022 – October 23, 2022. Should you be interested in an exhaustive examination of the exhibit and more, I have a two-part commentary: Mad, bad, and dangerous to know? Artificial Intelligence at the Vancouver (Canada) Art Gallery (1 of 2): The Objects and Mad, bad, and dangerous to know? Artificial Intelligence at the Vancouver (Canada) Art Gallery (2 of 2): Meditations.

Enjoy the show and/or the commentary, as well as, any other of the events and opportunities listed in this post.

Mad, bad, and dangerous to know? Artificial Intelligence at the Vancouver (Canada) Art Gallery (2 of 2): Meditations

Dear friend,

I thought it best to break this up a bit. There are a couple of ‘objects’ still to be discussed but this is mostly the commentary part of this letter to you. (Here’s a link for anyone who stumbled here but missed Part 1.)

Ethics, the natural world, social justice, eeek, and AI

Dorothy Woodend in her March 10, 2022 review for The Tyee) suggests some ethical issues in her critique of the ‘bee/AI collaboration’ and she’s not the only one with concerns. UNESCO (United Nations Educational, Scientific and Cultural Organization) has produced global recommendations for ethical AI (see my March 18, 2022 posting). More recently, there’s “Racist and sexist robots have flawed AI,” a June 23, 2022 posting, where researchers prepared a conference presentation and paper about deeply flawed AI still being used in robots.

Ultimately, the focus is always on humans and Woodend has extended the ethical AI conversation to include insects and the natural world. In short, something less human-centric.

My friend, this reference to the de Young exhibit may seem off topic but I promise it isn’t in more ways than one. The de Young Museum in San Francisco (February 22, 2020 – June 27, 2021) also held and AI and art show called, “Uncanny Valley: Being Human in the Age of AI”), from the exhibitions page,

In today’s AI-driven world, increasingly organized and shaped by algorithms that track, collect, and evaluate our data, the question of what it means to be human [emphasis mine] has shifted. Uncanny Valley is the first major exhibition to unpack this question through a lens of contemporary art and propose new ways of thinking about intelligence, nature, and artifice. [emphasis mine]

Courtesy: de Young Museum [downloaded from https://deyoung.famsf.org/exhibitions/uncanny-valley]

As you can see, it hinted (perhaps?) at an attempt to see beyond human-centric AI. (BTW, I featured this ‘Uncanny Valley’ show in my February 25, 2020 posting where I mentioned Stephanie Dinkins [featured below] and other artists.)

Social justice

While the VAG show doesn’t see much past humans and AI, it does touch on social justice. In particular there’s Pod 15 featuring the Algorithmic Justice League (AJL). The group “combine[s] art and research to illuminate the social implications and harms of AI” as per their website’s homepage.

In Pod 9, Stephanie Dinkins’ video work with a robot (Bina48), which was also part of the de Young Museum ‘Uncanny Valley’ show, addresses some of the same issues.

Still of Stephanie Dinkins, “Conversations with Bina48,” 2014–present. Courtesy of the artist [downloaded from https://deyoung.famsf.org/stephanie-dinkins-conversations-bina48-0]

From the the de Young Museum’s Stephanie Dinkins “Conversations with Bina48” April 23, 2020 article by Janna Keegan (Dinkins submitted the same work you see at the VAG show), Note: Links have been removed,

Transdisciplinary artist and educator Stephanie Dinkins is concerned with fostering AI literacy. The central thesis of her social practice is that AI, the internet, and other data-based technologies disproportionately impact people of color, LGBTQ+ people, women, and disabled and economically disadvantaged communities—groups rarely given a voice in tech’s creation. Dinkins strives to forge a more equitable techno-future by generating AI that includes the voices of multiple constituencies …

The artist’s ongoing Conversations with Bina48 takes the form of a series of interactions with the social robot Bina48 (Breakthrough Intelligence via Neural Architecture, 48 exaflops per second). The machine is the brainchild of Martine Rothblatt, an entrepreneur in the field of biopharmaceuticals who, with her wife, Bina, cofounded the Terasem Movement, an organization that seeks to extend human life through cybernetic means. In 2007 Martine commissioned Hanson Robotics to create a robot whose appearance and consciousness simulate Bina’s. The robot was released in 2010, and Dinkins began her work with it in 2014.

Part psychoanalytical discourse, part Turing test, Conversations with Bina48 also participates in a larger dialogue regarding bias and representation in technology. Although Bina Rothblatt is a Black woman, Bina48 was not programmed with an understanding of its Black female identity or with knowledge of Black history. Dinkins’s work situates this omission amid the larger tech industry’s lack of diversity, drawing attention to the problems that arise when a roughly homogenous population creates technologies deployed globally. When this occurs, writes art critic Tess Thackara, “the unconscious biases of white developers proliferate on the internet, mapping our social structures and behaviors onto code and repeating imbalances and injustices that exist in the real world.” One of the most appalling and public of these instances occurred when a Google Photos image-recognition algorithm mislabeled the faces of Black people as “gorillas.”

Eeek

You will find as you go through the ‘imitation game’ a pod with a screen showing your movements through the rooms in realtime on a screen. The installation is called “Creepers” (2021-22). The student team from Vancouver’s Centre for Digital Media (CDM) describes their project this way, from the CDM’s AI-driven Installation Piece for the Vancouver Art Gallery webpage,

Project Description

Kaleidoscope [team name] is designing an installation piece that harnesses AI to collect and visualize exhibit visitor behaviours, and interactions with art, in an impactful and thought-provoking way.

There’s no warning that you’re being tracked and you can see they’ve used facial recognition software to track your movements through the show. It’s claimed on the pod’s signage that they are deleting the data once you’ve left.

‘Creepers’ is an interesting approach to the ethics of AI. The name suggests that even the student designers were aware it was problematic.

For the curious, there’s a description of the other VAG ‘imitation game’ installations provided by CDM students on the ‘Master of Digital Media Students Develop Revolutionary Installations for Vancouver Art Gallery AI Exhibition‘ webpage.

In recovery from an existential crisis (meditations)

There’s something greatly ambitious about “The Imitation Game: Visual Culture in the Age of Artificial Intelligence” and walking up the VAG’s grand staircase affirms that ambition. Bravo to the two curators, Grenville and Entis for an exhibition.that presents a survey (or overview) of artificial intelligence, and its use in and impact on creative visual culture.

I’ve already enthused over the history (specifically Turing, Lovelace, Ovid), admitted to being mesmerized by Scott Eaton’s sculpture/AI videos, and confessed to a fascination (and mild repulsion) regarding Oxman’s honeycombs.

It’s hard to remember all of the ‘objects’ as the curators have offered a jumble of work, almost all of them on screens. Already noted, there’s Norbert Wiener’s The Moth (1949) and there are also a number of other computer-based artworks from the 1960s and 1970s. Plus, you’ll find works utilizing a GAN (generative adversarial network), an AI agent that is explained in the exhibit.

It’s worth going more than once to the show as there is so much to experience.

Why did they do that?

Dear friend, I’ve already commented on the poor flow through the show and It’s hard to tell if the curators intended the experience to be disorienting but this is to the point of chaos, especially when the exhibition is crowded.

I’ve seen Grenville’s shows before. In particular there was “MashUp: The Birth of Modern Culture, a massive survey documenting the emergence of a mode of creativity that materialized in the late 1800s and has grown to become the dominant model of cultural production in the 21st century” and there was “KRAZY! The Delirious World of Anime + Manga + Video Games + Art.” As you can see from the description, he pulls together disparate works and ideas into a show for you to ‘make sense’ of them.

One of the differences between those shows and the “imitation Game: …” is that most of us have some familiarity, whether we like it or not, with modern art/culture and anime/manga/etc. and can try to ‘make sense’ of it.

By contrast, artificial intelligence (which even experts have difficulty defining) occupies an entirely different set of categories; all of them associated with science/technology. This makes for a different kind of show so the curators cannot rely on the audience’s understanding of basics. It’s effectively an art/sci or art/tech show and, I believe, the first of its kind at the Vancouver Art Gallery. Unfortunately, the curators don’t seem to have changed their approach to accommodate that difference.

AI is also at the centre of a current panic over job loss, loss of personal agency, automated racism and sexism, etc. which makes the experience of viewing the show a little tense. In this context, their decision to commission and use ‘Creepers’ seems odd.

Where were Ai-Da and Dall-E-2 and the others?

Oh friend, I was hoping for a robot. Those roomba paintbots didn’t do much for me. All they did was lie there on the floor

To be blunt I wanted some fun and perhaps a bit of wonder and maybe a little vitality. I wasn’t necessarily expecting Ai-Da, an artisitic robot, but something three dimensional and fun in this very flat, screen-oriented show would have been nice.

This image has an empty alt attribute; its file name is image-asset.jpeg
Ai-Da was at the Glastonbury Festival in the U from 23-26th June 2022. Here’s Ai-Da and her Billie Eilish (one of the Glastonbury 2022 headliners) portrait. [downloaded from https://www.ai-darobot.com/exhibition]

Ai-Da was first featured here in a December 17, 2021 posting about performing poetry that she had written in honour of the 700th anniversary of poet Dante Alighieri’s death.

Named in honour of Ada Lovelace, Ai-Da visited the 2022 Venice Biennale as Leah Henrickson and Simone Natale describe in their May 12, 2022 article for Fast Company (Note: Links have been removed),

Ai-Da sits behind a desk, paintbrush in hand. She looks up at the person posing for her, and then back down as she dabs another blob of paint onto the canvas. A lifelike portrait is taking shape. If you didn’t know a robot produced it, this portrait could pass as the work of a human artist.

Ai-Da is touted as the “first robot to paint like an artist,” and an exhibition of her work, called Leaping into the Metaverse, opened at the Venice Biennale.

Ai-Da produces portraits of sitting subjects using a robotic hand attached to her lifelike feminine figure. She’s also able to talk, giving detailed answers to questions about her artistic process and attitudes toward technology. She even gave a TEDx talk about “The Intersection of Art and AI” in Oxford a few years ago. While the words she speaks are programmed, Ai-Da’s creators have also been experimenting with having her write and perform her own poetry.

She has her own website.

If not Ai-Da, what about Dall-E-2? Aaron Hertzmann’s June 20, 2022 commentary, “Give this AI a few words of description and it produces a stunning image – but is it art?” investigates for Salon (Note: Links have been removed),

DALL-E 2 is a new neural network [AI] algorithm that creates a picture from a short phrase or sentence that you provide. The program, which was announced by the artificial intelligence research laboratory OpenAI in April 2022, hasn’t been released to the public. But a small and growing number of people – myself included – have been given access to experiment with it.

As a researcher studying the nexus of technology and art, I was keen to see how well the program worked. After hours of experimentation, it’s clear that DALL-E – while not without shortcomings – is leaps and bounds ahead of existing image generation technology. It raises immediate questions about how these technologies will change how art is made and consumed. It also raises questions about what it means to be creative when DALL-E 2 seems to automate so much of the creative process itself.

A July 4, 2022 article “DALL-E, Make Me Another Picasso, Please” by Laura Lane for The New Yorker has a rebuttal to Ada Lovelace’s contention that creativity is uniquely human (Note: A link has been removed),

“There was this belief that creativity is this deeply special, only-human thing,” Sam Altman, OpenAI’s C.E.O., explained the other day. Maybe not so true anymore, he said. Altman, who wore a gray sweater and had tousled brown hair, was videoconferencing from the company’s headquarters, in San Francisco. DALL-E is still in a testing phase. So far, OpenAI has granted access to a select group of people—researchers, artists, developers—who have used it to produce a wide array of images: photorealistic animals, bizarre mashups, punny collages. Asked by a user to generate “a plate of various alien fruits from another planet photograph,” DALL-E returned something kind of like rambutans. “The rest of mona lisa” is, according to DALL-E, mostly just one big cliff. Altman described DALL-E as “an extension of your own creativity.”

There are other AI artists, in my August 16, 2019 posting, I had this,

AI artists first hit my radar in August 2018 when Christie’s Auction House advertised an art auction of a ‘painting’ by an algorithm (artificial intelligence). There’s more in my August 31, 2018 posting but, briefly, a French art collective, Obvious, submitted a painting, “Portrait of Edmond de Belamy,” that was created by an artificial intelligence agent to be sold for an estimated to $7000 – $10,000. They weren’t even close. According to Ian Bogost’s March 6, 2019 article for The Atlantic, the painting sold for $432,500 In October 2018.

That posting also included AI artist, AICAN. Both artist-AI agents (Obvious and AICAN) are based on GANs (generative adversarial networks) for learning and eventual output. Both artist-AI agents work independently or with human collaborators on art works that are available for purchase.

As might be expected not everyone is excited about AI and visual art. Sonja Drimmer, Professor of Medieval Art, University of Massachusetts at Amherst, provides another perspective on AI, visual art, and, her specialty, art history in her November 1, 2021 essay for The Conversation (Note: Links have been removed),

Over the past year alone, I’ve come across articles highlighting how artificial intelligence recovered a “secret” painting of a “lost lover” of Italian painter Modigliani, “brought to life” a “hidden Picasso nude”, “resurrected” Austrian painter Gustav Klimt’s destroyed works and “restored” portions of Rembrandt’s 1642 painting “The Night Watch.” The list goes on.

As an art historian, I’ve become increasingly concerned about the coverage and circulation of these projects.

They have not, in actuality, revealed one secret or solved a single mystery.

What they have done is generate feel-good stories about AI.

Take the reports about the Modigliani and Picasso paintings.

These were projects executed by the same company, Oxia Palus, which was founded not by art historians but by doctoral students in machine learning.

In both cases, Oxia Palus relied upon traditional X-rays, X-ray fluorescence and infrared imaging that had already been carried out and published years prior – work that had revealed preliminary paintings beneath the visible layer on the artists’ canvases.

The company edited these X-rays and reconstituted them as new works of art by applying a technique called “neural style transfer.” This is a sophisticated-sounding term for a program that breaks works of art down into extremely small units, extrapolates a style from them and then promises to recreate images of other content in that same style.

As you can ‘see’ my friend, the topic of AI and visual art is a juicy one. In fact, I have another example in my June 27, 2022 posting, which is titled, “Art appraised by algorithm.” So, Grenville’s and Entis’ decision to focus on AI and its impact on visual culture is quite timely.

Visual culture: seeing into the future

The VAG Imitation Game webpage lists these categories of visual culture “animation, architecture, art, fashion, graphic design, urban design and video games …” as being represented in the show. Movies and visual art, not mentioned in the write up, are represented while theatre and other performing arts are not mentioned or represented. That’ s not a surprise.

In addition to an area of science/technology that’s not well understood even by experts, the curators took on the truly amorphous (and overwhelming) topic of visual culture. Given that even writing this commentary has been a challenge, I imagine pulling the show together was quite the task.

Grenville often grounds his shows in a history of the subject and, this time, it seems especially striking. You’re in a building that is effectively a 19th century construct and in galleries that reflect a 20th century ‘white cube’ aesthetic, while looking for clues into the 21st century future of visual culture employing technology that has its roots in the 19th century and, to some extent, began to flower in the mid-20th century.

Chung’s collaboration is one of the only ‘optimistic’ notes about the future and, as noted earlier, it bears a resemblance to Wiener’s 1949 ‘Moth’

Overall, it seems we are being cautioned about the future. For example, Oxman’s work seems bleak (bees with no flowers to pollinate and living in an eternal spring). Adding in ‘Creepers’ and surveillance along with issues of bias and social injustice reflects hesitation and concern about what we will see, who sees it, and how it will be represented visually.

Learning about robots, automatons, artificial intelligence, and more

I wish the Vancouver Art Gallery (and Vancouver’s other art galleries) would invest a little more in audience education. A couple of tours, by someone who may or may not know what they’re talking, about during the week do not suffice. The extra material about Stephanie Dinkins and her work (“Conversations with Bina48,” 2014–present) came from the de Young Museum’s website. In my July 26, 2021 commentary on North Vancouver’s Polygon Gallery 2021 show “Interior Infinite,” I found background information for artist Zanele Muholi on the Tate Modern’s website. There is nothing on the VAG website that helps you to gain some perspective on the artists’ works.

It seems to me that if the VAG wants to be considered world class, it should conduct itself accordingly and beefing up its website with background information about their current shows would be a good place to start.

Robots, automata, and artificial intelligence

Prior to 1921, robots were known exclusively as automatons. These days, the word ‘automaton’ (or ‘automata’ in the plural) seems to be used to describe purely mechanical representations of humans from over 100 years ago whereas the word ‘robot’ can be either ‘humanlike’ or purely machine, e.g. a mechanical arm that performs the same function over and over. I have a good February 24, 2017 essay on automatons by Miguel Barral for OpenMind BBVA*, which provides some insight into the matter,

The concept of robot is relatively recent. The idea was introduced in 1921 by the Czech writer Karel Capek in his work R.U.R to designate a machine that performs tasks in place of man. But their predecessors, the automatons (from the Greek automata, or “mechanical device that works by itself”), have been the object of desire and fascination since antiquity. Some of the greatest inventors in history, such as Leonardo Da Vinci, have contributed to our fascination with these fabulous creations:

The Al-Jazari automatons

The earliest examples of known automatons appeared in the Islamic world in the 12th and 13th centuries. In 1206, the Arab polymath Al-Jazari, whose creations were known for their sophistication, described some of his most notable automatons: an automatic wine dispenser, a soap and towels dispenser and an orchestra-automaton that operated by the force of water. This latter invention was meant to liven up parties and banquets with music while floating on a pond, lake or fountain.

As the water flowed, it started a rotating drum with pegs that, in turn, moved levers whose movement produced different sounds and movements. As the pegs responsible for the musical notes could be exchanged for different ones in order to interpret another melody, it is considered one of the first programmable machines in history.

If you’re curious about automata, my friend, I found this Sept. 26, 2016 ABC news radio news item about singer Roger Daltrey’s and his wife, Heather’s auction of their collection of 19th century French automata (there’s an embedded video showcasing these extraordinary works of art). For more about automata, robots, and androids, there’s an excellent May 4, 2022 article by James Vincent, ‘A visit to the human factory; How to build the world’s most realistic robot‘ for The Verge; Vincent’s article is about Engineered Arts, the UK-based company that built Ai-Da.

AI is often used interchangeably with ‘robot’ but they aren’t the same. Not all robots have AI integrated into their processes. At its simplest AI is an algorithm or set of algorithms, which may ‘live’ in a CPU and be effectively invisible or ‘live’ in or make use of some kind of machine and/or humanlike body. As the experts have noted, the concept of artificial intelligence is a slippery concept.

*OpenMind BBVA is a Spanish multinational financial services company, Banco Bilbao Vizcaya Argentaria (BBVA), which runs the non-profit project, OpenMind (About us page) to disseminate information on robotics and so much more.*

You can’t always get what you want

My friend,

I expect many of the show’s shortcomings (as perceived by me) are due to money and/or scheduling issues. For example, Ai-Da was at the Venice Biennale and if there was a choice between the VAG and Biennale, I know where I’d be.

Even with those caveats in mind, It is a bit surprising that there were no examples of wearable technology. For example, Toronto’s Tapestry Opera recently performed R.U.R. A Torrent of Light (based on the word ‘robot’ from Karel Čapek’s play, R.U.R., ‘Rossumovi Univerzální Roboti’), from my May 24, 2022 posting,

I have more about tickets prices, dates, and location later in this post but first, here’s more about the opera and the people who’ve created it from the Tapestry Opera’s ‘R.U.R. A Torrent of Light’ performance webpage,

“This stunning new opera combines dance, beautiful multimedia design, a chamber orchestra including 100 instruments creating a unique electronica-classical sound, and wearable technology [emphasis mine] created with OCAD University’s Social Body Lab, to create an immersive and unforgettable science-fiction experience.”

And, from later in my posting,

“Despite current stereotypes, opera was historically a launchpad for all kinds of applied design technologies. [emphasis mine] Having the opportunity to collaborate with OCAD U faculty is an invigorating way to reconnect to that tradition and foster connections between art, music and design, [emphasis mine]” comments the production’s Director Michael Hidetoshi Mori, who is also Tapestry Opera’s Artistic Director. 

That last quote brings me back to the my comment about theatre and performing arts not being part of the show. Of course, the curators couldn’t do it all but a website with my hoped for background and additional information could have helped to solve the problem.

The absence of the theatrical and performing arts in the VAG’s ‘Imitation Game’ is a bit surprising as the Council of Canadian Academies (CCA) in their third assessment, “Competing in a Global Innovation Economy: The Current State of R&D in Canada” released in 2018 noted this (from my April 12, 2018 posting),

Canada, relative to the world, specializes in subjects generally referred to as the
humanities and social sciences (plus health and the environment), and does
not specialize as much as others in areas traditionally referred to as the physical
sciences and engineering. Specifically, Canada has comparatively high levels
of research output in Psychology and Cognitive Sciences, Public Health and
Health Services, Philosophy and Theology, Earth and Environmental Sciences,
and Visual and Performing Arts. [emphasis mine] It accounts for more than 5% of world research in these fields. Conversely, Canada has lower research output than expected in Chemistry, Physics and Astronomy, Enabling and Strategic Technologies,
Engineering, and Mathematics and Statistics. The comparatively low research
output in core areas of the natural sciences and engineering is concerning,
and could impair the flexibility of Canada’s research base, preventing research
institutions and researchers from being able to pivot to tomorrow’s emerging
research areas. [p. xix Print; p. 21 PDF]

US-centric

My friend,

I was a little surprised that the show was so centered on work from the US given that Grenville has curated ate least one show where there was significant input from artists based in Asia. Both Japan and Korea are very active with regard to artificial intelligence and it’s hard to believe that their artists haven’t kept pace. (I’m not as familiar with China and its AI efforts, other than in the field of facial recognition, but it’s hard to believe their artists aren’t experimenting.)

The Americans, of course, are very important developers in the field of AI but they are not alone and it would have been nice to have seen something from Asia and/or Africa and/or something from one of the other Americas. In fact, anything which takes us out of the same old, same old. (Luba Elliott wrote this (2019/2020/2021?) essay, “Artificial Intelligence Art from Africa and Black Communities Worldwide” on Aya Data if you want to get a sense of some of the activity on the African continent. Elliott does seem to conflate Africa and Black Communities, for some clarity you may want to check out the Wikipedia entry on Africanfuturism, which contrasts with this August 12, 2020 essay by Donald Maloba, “What is Afrofuturism? A Beginner’s Guide.” Maloba also conflates the two.)

As it turns out, Luba Elliott presented at the 2019 Montréal Digital Spring event, which brings me to Canada’s artificial intelligence and arts scene.

I promise I haven’t turned into a flag waving zealot, my friend. It’s just odd there isn’t a bit more given that machine learning was pioneered at the University of Toronto. Here’s more about that (from Wikipedia entry for Geoffrey Hinston),

Geoffrey Everest HintonCCFRSFRSC[11] (born 6 December 1947) is a British-Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks.

Hinton received the 2018 Turing Award, together with Yoshua Bengio [Canadian scientist] and Yann LeCun, for their work on deep learning.[24] They are sometimes referred to as the “Godfathers of AI” and “Godfathers of Deep Learning“,[25][26] and have continued to give public talks together.[27][28]

Some of Hinton’s work was started in the US but since 1987, he has pursued his interests at the University of Toronto. He wasn’t proven right until 2012. Katrina Onstad’s February 29, 2018 article (Mr. Robot) for Toronto Life is a gripping read about Hinton and his work on neural networks. BTW, Yoshua Bengio (co-Godfather) is a Canadian scientist at the Université de Montréal and Yann LeCun (co-Godfather) is a French scientist at New York University.

Then, there’s another contribution, our government was the first in the world to develop a national artificial intelligence strategy. Adding those developments to the CCA ‘State of Science’ report findings about visual arts and performing arts, is there another word besides ‘odd’ to describe the lack of Canadian voices?

You’re going to point out the installation by Ben Bogart (a member of Simon Fraser University’s Metacreation Lab for Creative AI and instructor at the Emily Carr University of Art + Design (ECU)) but it’s based on the iconic US scifi film, 2001: A Space Odyssey. As for the other Canadian, Sougwen Chung, she left Canada pretty quickly to get her undergraduate degree in the US and has since moved to the UK. (You could describe hers as the quintessential success story, i.e., moving from Canada only to get noticed here after success elsewhere.)

Of course, there are the CDM student projects but the projects seem less like an exploration of visual culture than an exploration of technology and industry requirements, from the ‘Master of Digital Media Students Develop Revolutionary Installations for Vancouver Art Gallery AI Exhibition‘ webpage, Note: A link has been removed,

In 2019, Bruce Grenville, Senior Curator at Vancouver Art Gallery, approached [the] Centre for Digital Media to collaborate on several industry projects for the forthcoming exhibition. Four student teams tackled the project briefs over the course of the next two years and produced award-winning installations that are on display until October 23 [2022].

Basically, my friend, it would have been nice to see other voices or, at the least, an attempt at representing other voices and visual cultures informed by AI. As for Canadian contributions, maybe put something on the VAG website?

Playing well with others

it’s always a mystery to me why the Vancouver cultural scene seems comprised of a set of silos or closely guarded kingdoms. Reaching out to the public library and other institutions such as Science World might have cost time but could have enhanced the show

For example, one of the branches of the New York Public Library ran a programme called, “We are AI” in March 2022 (see my March 23, 2022 posting about the five-week course, which was run as a learning circle). The course materials are available for free (We are AI webpage) and I imagine that adding a ‘visual culture module’ wouldn’t be that difficult.

There is one (rare) example of some Vancouver cultural institutions getting together to offer an art/science programme and that was in 2017 when the Morris and Helen Belkin Gallery (at the University of British Columbia; UBC) hosted an exhibition of Santiago Ramon y Cajal’s work (see my Sept. 11, 2017 posting about the gallery show) along with that show was an ancillary event held by the folks at Café Scientifique at Science World and featuring a panel of professionals from UBC’s Faculty of Medicine and Dept. of Psychology, discussing Cajal’s work.

In fact, where were the science and technology communities for this show?

On a related note, the 2022 ACM SIGGRAPH conference (August 7 – 11, 2022) is being held in Vancouver. (ACM is the Association for Computing Machinery; SIGGRAPH is for Special Interest Group on Computer Graphics and Interactive Techniques.) SIGGRAPH has been holding conferences in Vancouver every few years since at least 2011.

At this year’s conference, they have at least two sessions that indicate interests similar to the VAG’s. First, there’s Immersive Visualization for Research, Science and Art which includes AI and machine learning along with other related topics. There’s also, Frontiers Talk: Art in the Age of AI: Can Computers Create Art?

This is both an international conference and an exhibition (of art) and the whole thing seems to have kicked off on July 25, 2022. If you’re interested, the programme can be found here and registration here.

Last time SIGGRAPH was here the organizers seemed interested in outreach and they offered some free events.

In the end

It was good to see the show. The curators brought together some exciting material. As is always the case, there were some missed opportunities and a few blind spots. But all is not lost.

July 27, 2022, the VAG held a virtual event with an artist,

Gwenyth Chao to learn more about what happened to the honeybees and hives in Oxman’s Synthetic Apiary project. As a transdisciplinary artist herself, Chao will also discuss the relationship between art, science, technology and design. She will then guide participants to create a space (of any scale, from insect to human) inspired by patterns found in nature.

Hopefully there will be more more events inspired by specific ‘objects’. Meanwhile, August 12, 2022, the VAG is hosting,

… in partnership with the Canadian Music Centre BC, New Music at the Gallery is a live concert series hosted by the Vancouver Art Gallery that features an array of musicians and composers who draw on contemporary art themes.

Highlighting a selection of twentieth- and twenty-first-century music compositions, this second concert, inspired by the exhibition The Imitation Game: Visual Culture in the Age of Artificial Intelligence, will spotlight The Iliac Suite (1957), the first piece ever written using only a computer, and Kaija Saariaho’s Terra Memoria (2006), which is in a large part dependent on a computer-generated musical process.

It would be lovely if they could include an Ada Lovelace Day event. This is an international celebration held on October 11, 2022.

Do go. Do enjoy, my friend.

Mad, bad, and dangerous to know? Artificial Intelligence at the Vancouver (Canada) Art Gallery (1 of 2): The Objects

To my imaginary AI friend

Dear friend,

I thought you might be amused by these Roomba-like* paintbots at the Vancouver Art Gallery’s (VAG) latest exhibition, “The Imitation Game: Visual Culture in the Age of Artificial Intelligence” (March 5, 2022 – October 23, 2022).

Sougwen Chung, Omnia per Omnia, 2018, video (excerpt), Courtesy of the Artist

*A Roomba is a robot vacuum cleaner produced and sold by iRobot.

As far as I know, this is the Vancouver Art Gallery’s first art/science or art/technology exhibit and it is an alternately fascinating, exciting, and frustrating take on artificial intelligence and its impact on the visual arts. Curated by Bruce Grenville, VAG Senior Curator, and Glenn Entis, Guest Curator, the show features 20 ‘objects’ designed to both introduce viewers to the ‘imitation game’ and to challenge them. From the VAG Imitation Game webpage,

The Imitation Game surveys the extraordinary uses (and abuses) of artificial intelligence (AI) in the production of modern and contemporary visual culture around the world. The exhibition follows a chronological narrative that first examines the development of artificial intelligence, from the 1950s to the present [emphasis mine], through a precise historical lens. Building on this foundation, it emphasizes the explosive growth of AI across disciplines, including animation, architecture, art, fashion, graphic design, urban design and video games, over the past decade. Revolving around the important roles of machine learning and computer vision in AI research and experimentation, The Imitation Game reveals the complex nature of this new tool and demonstrates its importance for cultural production.

And now …

As you’ve probably guessed, my friend, you’ll find a combination of both background information and commentary on the show.

I’ve initially focused on two people (a scientist and a mathematician) who were seminal thinkers about machines, intelligence, creativity, and humanity. I’ve also provided some information about the curators, which hopefully gives you some insight into the show.

As for the show itself, you’ll find a few of the ‘objects’ highlighted with one of them being investigated at more length. The curators devoted some of the show to ethical and social justice issues, accordingly, the Vancouver Art Gallery hosted the University of British Columbia’s “Speculative Futures: Artificial Intelligence Symposium” on April 7, 2022,

Presented in conjunction with the exhibition The Imitation Game: Visual Culture in the Age of Artificial Intelligence, the Speculative Futures Symposium examines artificial intelligence and the specific uses of technology in its multifarious dimensions. Across four different panel conversations, leading thinkers of today will explore the ethical implications of technology and discuss how they are working to address these issues in cultural production.”

So, you’ll find more on these topics here too.

And for anyone else reading this (not you, my friend who is ‘strong’ AI and not similar to the ‘weak’ AI found in this show), there is a description of ‘weak’ and ‘strong’ AI on the avtsim.com/weak-ai-strong-ai webpage, Note: A link has been removed,

There are two types of AI: weak AI and strong AI.

Weak, sometimes called narrow, AI is less intelligent as it cannot work without human interaction and focuses on a more narrow, specific, or niched purpose. …

Strong AI on the other hand is in fact comparable to the fictitious AIs we see in media like the terminator. The theoretical Strong AI would be equivalent or greater to human intelligence.

….

My dear friend, I hope you will enjoy.

The Imitation Game and ‘mad, bad, and dangerous to know’

In some circles, it’s better known as ‘The Turing Test;” the Vancouver Art Gallery’s ‘Imitation Game’ hosts a copy of Alan Turing’s foundational paper for establishing whether artificial intelligence is possible (I thought this was pretty exciting).

Here’s more from The Turing Test essay by Graham Oppy and David Dowe for the Stanford Encyclopedia of Philosophy,

The phrase “The Turing Test” is most properly used to refer to a proposal made by Turing (1950) as a way of dealing with the question whether machines can think. According to Turing, the question whether machines can think is itself “too meaningless” to deserve discussion (442). However, if we consider the more precise—and somehow related—question whether a digital computer can do well in a certain kind of game that Turing describes (“The Imitation Game”), then—at least in Turing’s eyes—we do have a question that admits of precise discussion. Moreover, as we shall see, Turing himself thought that it would not be too long before we did have digital computers that could “do well” in the Imitation Game.

The phrase “The Turing Test” is sometimes used more generally to refer to some kinds of behavioural tests for the presence of mind, or thought, or intelligence in putatively minded entities. …

Next to the display holding Turing’s paper, is another display with an excerpt of an explanation from Turing about how he believed Ada Lovelace would have responded to the idea that machines could think based on a copy of some of her writing (also on display). She proposed that creativity, not thinking, is what set people apart from machines. (See the April 17, 2020 article “Thinking Machines? Has the Lovelace Test Been Passed?’ on mindmatters.ai.)

It’s like a dialogue between two seminal thinkers who lived about 100 years apart; Lovelace, born in 1815 and dead in 1852, and Turing, born in 1912 and dead in 1954. Both have fascinating back stories (more about those later) and both played roles in how computers and artificial intelligence are viewed.

Adding some interest to this walk down memory lane is a 3rd display, an illustration of the ‘Mechanical Turk‘, a chess playing machine that made the rounds in Europe from 1770 until it was destroyed in 1854. A hoax that fooled people for quite a while it is a reminder that we’ve been interested in intelligent machines for centuries. (Friend, Turing and Lovelace and the Mechanical Turk are found in Pod 1.)

Back story: Turing and the apple

Turing is credited with being instrumental in breaking the German ENIGMA code during World War II and helping to end the war. I find it odd that he ended up at the University of Manchester in the post-war years. One would expect him to have been at Oxford or Cambridge. At any rate, he died in 1954 of cyanide poisoning two years after he was arrested for being homosexual and convicted of indecency. Given the choice of incarceration or chemical castration, he chose the latter. There is, to this day, debate about whether or not it was suicide. Here’s how his death is described in this Wikipedia entry (Note: Links have been removed),

On 8 June 1954, at his house at 43 Adlington Road, Wilmslow,[150] Turing’s housekeeper found him dead. He had died the previous day at the age of 41. Cyanide poisoning was established as the cause of death.[151] When his body was discovered, an apple lay half-eaten beside his bed, and although the apple was not tested for cyanide,[152] it was speculated that this was the means by which Turing had consumed a fatal dose. An inquest determined that he had committed suicide. Andrew Hodges and another biographer, David Leavitt, have both speculated that Turing was re-enacting a scene from the Walt Disney film Snow White and the Seven Dwarfs (1937), his favourite fairy tale. Both men noted that (in Leavitt’s words) he took “an especially keen pleasure in the scene where the Wicked Queen immerses her apple in the poisonous brew”.[153] Turing’s remains were cremated at Woking Crematorium on 12 June 1954,[154] and his ashes were scattered in the gardens of the crematorium, just as his father’s had been.[155]

Philosopher Jack Copeland has questioned various aspects of the coroner’s historical verdict. He suggested an alternative explanation for the cause of Turing’s death: the accidental inhalation of cyanide fumes from an apparatus used to electroplate gold onto spoons. The potassium cyanide was used to dissolve the gold. Turing had such an apparatus set up in his tiny spare room. Copeland noted that the autopsy findings were more consistent with inhalation than with ingestion of the poison. Turing also habitually ate an apple before going to bed, and it was not unusual for the apple to be discarded half-eaten.[156] Furthermore, Turing had reportedly borne his legal setbacks and hormone treatment (which had been discontinued a year previously) “with good humour” and had shown no sign of despondency prior to his death. He even set down a list of tasks that he intended to complete upon returning to his office after the holiday weekend.[156] Turing’s mother believed that the ingestion was accidental, resulting from her son’s careless storage of laboratory chemicals.[157] Biographer Andrew Hodges theorised that Turing arranged the delivery of the equipment to deliberately allow his mother plausible deniability with regard to any suicide claims.[158]

The US Central Intelligence Agency (CIA) also has an entry for Alan Turing dated April 10, 2015 it’s titled, The Enigma of Alan Turing.

Back story: Ada Byron Lovelace, the 2nd generation of ‘mad, bad, and dangerous to know’

A mathematician and genius in her own right, Ada Lovelace’s father George Gordon Byron, better known as the poet Lord Byron, was notoriously described as ‘mad, bad, and dangerous to know’.

Lovelace too could have been been ‘mad, bad, …’ but she is described less memorably as “… manipulative and aggressive, a drug addict, a gambler and an adulteress, …” as mentioned in my October 13, 20215 posting. It marked the 200th anniversary of her birth, which was celebrated with a British Broadcasting Corporation (BBC) documentary and an exhibit at the Science Museum in London, UK.

She belongs in the Vancouver Art Gallery’s show along with Alan Turing due to her prediction that computers could be made to create music. She also published the first computer program. Her feat is astonishing when you know only one working model {1/7th of the proposed final size) of a computer was ever produced. (The machine invented by Charles Babbage was known as a difference engine. You can find out more about the Difference engine on Wikipedia and about Babbage’s proposed second invention, the Analytical engine.)

(Byron had almost nothing to do with his daughter although his reputation seems to have dogged her. You can find out more about Lord Byron here.)

AI and visual culture at the VAG: the curators

As mentioned earlier, the VAG’s “The Imitation Game: Visual Culture in the Age of Artificial Intelligence” show runs from March 5, 2022 – October 23, 2022. Twice now, I have been to this weirdly exciting and frustrating show.

Bruce Grenville, VAG Chief/Senior Curator, seems to specialize in pulling together diverse materials to illustrate ‘big’ topics. His profile for Emily Carr University of Art + Design (where Grenville teaches) mentions these shows ,

… He has organized many thematic group exhibitions including, MashUp: The Birth of Modern Culture [emphasis mine], a massive survey documenting the emergence of a mode of creativity that materialized in the late 1800s and has grown to become the dominant model of cultural production in the 21st century; KRAZY! The Delirious World [emphasis mine] of Anime + Manga + Video Games + Art, a timely and important survey of modern and contemporary visual culture from around the world; Home and Away: Crossing Cultures on the Pacific Rim [emphasis mine] a look at the work of six artists from Vancouver, Beijing, Ho Chi Minh City, Seoul and Los Angeles, who share a history of emigration and diaspora. …

Glenn Entis, Guest Curator and founding faculty member of Vancouver’s Centre for Digital Media (CDM) is Grenville’s co-curator, from Entis’ CDM profile,

“… an Academy Award-winning animation pioneer and games industry veteran. The former CEO of Dreamworks Interactive, Glenn worked with Steven Spielberg and Jeffrey Katzenberg on a number of video games …,”

Steve Newton in his March 4, 2022 preview does a good job of describing the show although I strongly disagree with the title of his article which proclaims “The Vancouver Art Gallery takes a deep dive into artificial intelligence with The Imitation Game.” I think it’s more of a shallow dive meant to cover more distance than depth,

… The exhibition kicks off with an interactive introduction inviting visitors to actively identify diverse areas of cultural production influenced by AI.

“That was actually one of the pieces that we produced in collaboration with the Centre for Digital Media,” Grenville notes, “so we worked with some graduate-student teams that had actually helped us to design that software. It was the beginning of COVID when we started to design this, so we actually wanted a no-touch interactive. So, really, the idea was to say, ‘Okay, this is the very entrance to the exhibition, and artificial intelligence, this is something I’ve heard about, but I’m not really sure how it’s utilized in ways. But maybe I know something about architecture; maybe I know something about video games; maybe I know something about the history of film.

“So you point to these 10 categories of visual culture [emphasis mine]–video games, architecture, fashion design, graphic design, industrial design, urban design–so you point to one of those, and you might point to ‘film’, and then when you point at it that opens up into five different examples of what’s in the show, so it could be 2001: A Space Odyssey, or Bladerunner, or World on a Wire.”

After the exhibition’s introduction—which Grenville equates to “opening the door to your curiosity” about artificial intelligence–visitors encounter one of its main categories, Objects of Wonder, which speaks to the history of AI and the critical advances the technology has made over the years.

“So there are 20 Objects of Wonder [emphasis mine],” Grenville says, “which go from 1949 to 2022, and they kind of plot out the history of artificial intelligence over that period of time, focusing on a specific object. Like [mathematician and philosopher] Norbert Wiener made this cybernetic creature, he called it a ‘Moth’, in 1949. So there’s a section that looks at this idea of kind of using animals–well, machine animals–and thinking about cybernetics, this idea of communication as feedback, early thinking around neuroscience and how neuroscience starts to imagine this idea of a thinking machine.

And there’s this from Newton’s March 4, 2022 preview,

“It’s interesting,” Grenville ponders, “artificial intelligence is virtually unregulated. [emphasis mine] You know, if you think about the regulatory bodies that govern TV or radio or all the types of telecommunications, there’s no equivalent for artificial intelligence, which really doesn’t make any sense. And so what happens is, sometimes with the best intentions [emphasis mine]—sometimes not with the best intentions—choices are made about how artificial intelligence develops. So one of the big ones is facial-recognition software [emphasis mine], and any body-detection software that’s being utilized.

In addition to it being the best overview of the show I’ve seen so far, this is the only one where you get a little insight into what the curators were thinking when they were developing it.

A deep dive into AI?

it was only while searching for a little information before the show that I realized I don’t have any definitions for artificial intelligence! What is AI? Sadly, there are no definitions of AI in the exhibit.

It seems even experts don’t have a good definition. Take a look at this,

The definition of AI is fluid [emphasis mine] and reflects a constantly shifting landscape marked by technological advancements and growing areas of application. Indeed, it has frequently been observed that once AI becomes capable of solving a particular problem or accomplishing a certain task, it is often no longer considered to be “real” intelligence [emphasis mine] (Haenlein & Kaplan, 2019). A firm definition was not applied for this report [emphasis mine], given the variety of implementations described above. However, for the purposes of deliberation, the Panel chose to interpret AI as a collection of statistical and software techniques, as well as the associated data and the social context in which they evolve — this allows for a broader and more inclusive interpretation of AI technologies and forms of agency. The Panel uses the term AI interchangeably to describe various implementations of machine-assisted design and discovery, including those based on machine learning, deep learning, and reinforcement learning, except for specific examples where the choice of implementation is salient. [p. 6 print version; p. 34 PDF version]

The above is from the Leaps and Boundaries report released May 10, 2022 by the Council of Canadian Academies’ Expert Panel on Artificial Intelligence for Science and Engineering.

Sometimes a show will take you in an unexpected direction. I feel a lot better ‘not knowing’. Still, I wish the curators had acknowledged somewhere in the show that artificial intelligence is a slippery concept. Especially when you add in robots and automatons. (more about them later)

21st century technology in a 19th/20th century building

Void stairs inside the building. Completed in 1906, the building was later designated as a National Historic Site in 1980 [downloaded from https://en.wikipedia.org/wiki/Vancouver_Art_Gallery#cite_note-canen-7]

Just barely making it into the 20th century, the building where the Vancouver Art Gallery currently resides was for many years the provincial courthouse (1911 – 1978). In some ways, it’s a disconcerting setting for this show.

They’ve done their best to make the upstairs where the exhibit is displayed look like today’s galleries with their ‘white cube aesthetic’ and strong resemblance to the scientific laboratories seen in movies.

(For more about the dominance, since the 1930s, of the ‘white cube aesthetic’ in art galleries around the world, see my July 26, 2021 posting; scroll down about 50% of the way.)

It makes for an interesting tension, the contrast between the grand staircase, the cupola, and other architectural elements and the sterile, ‘laboratory’ environment of the modern art gallery.

20 Objects of Wonder and the flow of the show

It was flummoxing. Where are the 20 objects? Why does it feel like a maze in a laboratory? Loved the bees, but why? Eeeek Creepers! What is visual culture anyway? Where am I?

The objects of the show

It turns out that the curators have a more refined concept for ‘object’ than I do. There weren’t 20 material objects, there were 20 numbered ‘pods’ with perhaps a screen or a couple of screens or a screen and a material object or two illustrating the pod’s topic.

Looking up a definition for the word (accessed from a June 9, 2022 duckduckgo.com search). yielded this, (the second one seems à propos),

objectŏb′jĭkt, -jĕkt″

noun

1. Something perceptible by one or more of the senses, especially by vision or touch; a material thing.

2. A focus of attention, feeling, thought, or action.

3. A limiting factor that must be considered.

The American Heritage® Dictionary of the English Language, 5th Edition.

Each pod = a focus of attention.

The show’s flow is a maze. Am I a rat?

The pods are defined by a number and by temporary walls. So if you look up, you’ll see a number and a space partly enclosed by a temporary wall or two.

It’s a very choppy experience. For example, one minute you can be in pod 1 and, when you turn the corner, you’re in pod 4 or 5 or ? There are pods I’ve not seen, despite my two visits, because I kept losing my way. This led to an existential crisis on my second visit. “Had I missed the greater meaning of this show? Was there some sort of logic to how it was organized? Was there meaning to my life? Was I a rat being nudged around in a maze?” I didn’t know.

Thankfully, I have since recovered. But, I will return to my existential crisis later, with a special mention for “Creepers.”

The fascinating

My friend, you know I appreciated the history and in addition to Alan Turing, Ada Lovelace and the Mechanical Turk, at the beginning of the show, they included a reference to Ovid (or Pūblius Ovidius Nāsō), a Roman poet who lived from 43 BCE – 17/18 CE in one of the double digit (17? or 10? or …) in one of the pods featuring a robot on screen. As to why Ovid might be included, this excerpt from a February 12, 2018 posting on the cosmolocal.org website provides a clue (Note. Links have been removed),

The University of King’s College [Halifax, Nova Scotia] presents Automatons! From Ovid to AI, a nine-lecture series examining the history, issues and relationships between humans, robots, and artificial intelligence [emphasis mine]. The series runs from January 10 to April 4 [2018], and features leading scholars, performers and critics from Canada, the US and Britain.

“Drawing from theatre, literature, art, science and philosophy, our 2018 King’s College Lecture Series features leading international authorities exploring our intimate relationships with machines,” says Dr. Gordon McOuat, professor in the King’s History of Science and Technology (HOST) and Contemporary Studies Programs.

“From the myths of Ovid [emphasis mine] and the automatons [emphasis mine] of the early modern period to the rise of robots, cyborgs, AI and artificial living things in the modern world, the 2018 King’s College Lecture Series examines the historical, cultural, scientific and philosophical place of automatons in our lives—and our future,” adds McOuat.

I loved the way the curators managed to integrate the historical roots for artificial intelligence and, by extension, the world of automatons, robots, cyborgs, and androids. Yes, starting the show with Alan Turing and Ada Lovelace could be expected but Norbert Wiener’s Moth (1949) acts as a sort of preview for Sougwen Chung’s “Omnia per Omnia, 2018” (GIF seen at the beginning of this post). Take a look for yourself (from the cyberneticzoo.com September 19, 2009 posting by cyberne1. Do you see the similarity or am I the only one?

[sourced from Google images, Source:life) & downloaded from https://cyberneticzoo.com/cyberneticanimals/1949-wieners-moth-wiener-wiesner-singleton/]

Sculpture

This is the first time I’ve come across an AI/sculpture project. The VAG show features Scott Eaton’s sculptures on screens in a room devoted to his work.

Scott Eaton: Entangled II, 2019 4k video (still) Courtesy of the Artist [downloaded from https://www.vanartgallery.bc.ca/exhibitions/the-imitation-game]

This looks like an image of a piece of ginger root and It’s fascinating to watch the process as the AI agent ‘evolves’ Eaton’s drawings into onscreen sculptures. It would have enhanced the experience if at least one of Eaton’s ‘evolved’ and physically realized sculptures had been present in the room but perhaps there were financial and/or logistical reasons for the absence.

Both Chung and Eaton are collaborating with an AI agent. In Chung’s case the AI is integrated into the paintbots with which she interacts and paints alongside and in Eaton’s case, it’s via a computer screen. In both cases, the work is mildly hypnotizing in a way that reminds me of lava lamps.

One last note about Chung and her work. She was one of the artists invited to present new work at an invite-only April 22, 2022 Embodied Futures workshop at the “What will life become?” event held by the Berrgruen Institute and the University of Southern California (USC),

Embodied Futures invites participants to imagine novel forms of life, mind, and being through artistic and intellectual provocations on April 22 [2022].

Beginning at 1 p.m., together we will experience the launch of five artworks commissioned by the Berggruen Institute. We asked these artists: How does your work inflect how we think about “the human” in relation to alternative “embodiments” such as machines, AIs, plants, animals, the planet, and possible alien life forms in the cosmos? [emphases mine]  Later in the afternoon, we will take provocations generated by the morning’s panels and the art premieres in small breakout groups that will sketch futures worlds, and lively entities that might dwell there, in 2049.

This leads to (and my friend, while I too am taking a shallow dive, for this bit I’m going a little deeper):

Bees and architecture

Neri Oxman’s contribution (Golden Bee Cube, Synthetic Apiary II [2020]) is an exhibit featuring three honeycomb structures and a video featuring the bees in her synthetic apiary.

Neri Oxman and the MIT Mediated Matter Group, Golden Bee Cube, Synthetic Apiary II, 2020, beeswax, acrylic, gold particles, gold powder Courtesy of Neri Oxman and the MIT Mediated Matter Group

Neri Oxman (then a faculty member of the Mediated Matter Group at the Massachusetts Institute of Technology) described the basis for the first and all other iterations of her synthetic apiary in Patrick Lynch’s October 5, 2016 article for ‘ArchDaily; Broadcasting Architecture Worldwide’, Note: Links have been removed,

Designer and architect Neri Oxman and the Mediated Matter group have announced their latest design project: the Synthetic Apiary. Aimed at combating the massive bee colony losses that have occurred in recent years, the Synthetic Apiary explores the possibility of constructing controlled, indoor environments that would allow honeybee populations to thrive year-round.

“It is time that the inclusion of apiaries—natural or synthetic—for this “keystone species” be considered a basic requirement of any sustainability program,” says Oxman.

In developing the Synthetic Apiary, Mediated Matter studied the habits and needs of honeybees, determining the precise amounts of light, humidity and temperature required to simulate a perpetual spring environment. [emphasis mine] They then engineered an undisturbed space where bees are provided with synthetic pollen and sugared water and could be evaluated regularly for health.

In the initial experiment, the honeybees’ natural cycle proved to adapt to the new environment, as the Queen was able to successfully lay eggs in the apiary. The bees showed the ability to function normally in the environment, suggesting that natural cultivation in artificial spaces may be possible across scales, “from organism- to building-scale.”

“At the core of this project is the creation of an entirely synthetic environment enabling controlled, large-scale investigations of hives,” explain the designers.

Mediated Matter chose to research into honeybees not just because of their recent loss of habitat, but also because of their ability to work together to create their own architecture, [emphasis mine] a topic the group has explored in their ongoing research on biologically augmented digital fabrication, including employing silkworms to create objects and environments at product, architectural, and possibly urban, scales.

“The Synthetic Apiary bridges the organism- and building-scale by exploring a “keystone species”: bees. Many insect communities present collective behavior known as “swarming,” prioritizing group over individual survival, while constantly working to achieve common goals. Often, groups of these eusocial organisms leverage collaborative behavior for relatively large-scale construction. For example, ants create extremely complex networks by tunneling, wasps generate intricate paper nests with materials sourced from local areas, and bees deposit wax to build intricate hive structures.”

This January 19, 2022 article by Crown Honey for its eponymous blog updates Oxman’s work (Note 1: All emphases are mine; Note 2: A link has been removed),

Synthetic Apiary II investigates co-fabrication between humans and honey bees through the use of designed environments in which Apis mellifera colonies construct comb. These designed environments serve as a means by which to convey information to the colony. The comb that the bees construct within these environments comprises their response to the input information, enabling a form of communication through which we can begin to understand the hive’s collective actions from their perspective.

Some environments are embedded with chemical cues created through a novel pheromone 3D-printing process, while others generate magnetic fields of varying strength and direction. Others still contain geometries of varying complexity or designs that alter their form over time.

When offered wax augmented with synthetic biomarkers, bees appear to readily incorporate it into their construction process, likely due to the high energy cost of producing fresh wax. This suggests that comb construction is a responsive and dynamic process involving complex adaptations to perturbations from environmental stimuli, not merely a set of predefined behaviors building toward specific constructed forms. Each environment therefore acts as a signal that can be sent to the colony to initiate a process of co-fabrication.

Characterization of constructed comb morphology generally involves visual observation and physical measurements of structural features—methods which are limited in scale of analysis and blind to internal architecture. In contrast, the wax structures built by the colonies in Synthetic Apiary II are analyzed through high-throughput X-ray computed tomography (CT) scans that enable a more holistic digital reconstruction of the hive’s structure.

Geometric analysis of these forms provides information about the hive’s design process, preferences, and limitations when tied to the inputs, and thereby yields insights into the invisible mediations between bees and their environment.
Developing computational tools to learn from bees can facilitate the very beginnings of a dialogue with them. Refined by evolution over hundreds of thousands of years, their comb-building behaviors and social organizations may reveal new forms and methods of formation that can be applied across our human endeavors in architecture, design, engineering, and culture.

Further, with a basic understanding and language established, methods of co-fabrication together with bees may be developed, enabling the use of new biocompatible materials and the creation of more efficient structural geometries that modern technology alone cannot achieve.

In this way, we also move our built environment toward a more synergistic embodiment, able to be more seamlessly integrated into natural environments through material and form, even providing habitats of benefit to both humans and nonhumans. It is essential to our mutual survival for us to not only protect but moreover to empower these critical pollinators – whose intrinsic behaviors and ecosystems we have altered through our industrial processes and practices of human-centric design – to thrive without human intervention once again.

In order to design our way out of the environmental crisis that we ourselves created, we must first learn to speak nature’s language. …

The three (natural, gold nanoparticle, and silver nanoparticle) honeycombs in the exhibit are among the few physical objects (the others being the historical documents and the paintbots with their canvasses) in the show and it’s almost a relief after the parade of screens. It’s the accompanying video that’s eerie. Everything is in white, as befits a science laboratory, in this synthetic apiary where bees are fed sugar water and fooled into a spring that is eternal.

Courtesy: Massachusetts Institute of Technology Copyright: Mediated Matter [downloaded from https://www.media.mit.edu/projects/synthetic-apiary/overview/]

(You may want to check out Lynch’s October 5, 2016 article or Crown Honey’s January 19, 2022 article as both have embedded images and the Lynch article includes a Synthetic Apiary video. The image above is a still from the video.)

As I asked a friend, where are the flowers? Ron Miksha, a bee ecologist working at the University of Calgary, details some of the problems with Oxman’s Synthetic Apiary this way in his October 7, 2016 posting on his Bad Beekeeping Blog,

In a practical sense, the synthetic apiary fails on many fronts: Bees will survive a few months on concoctions of sugar syrup and substitute pollen, but they need a natural variety of amino acids and minerals to actually thrive. They need propolis and floral pollen. They need a ceiling 100 metres high and a 2-kilometre hallway if drone and queen will mate, or they’ll die after the old queen dies. They need an artificial sun that travels across the sky, otherwise, the bees will be attracted to artificial lights and won’t return to their hive. They need flowery meadows, fresh water, open skies. [emphasis mine] They need a better holodeck.

Dorothy Woodend’s March 10, 2022 review of the VAG show for The Tyee poses other issues with the bees and the honeycombs,

When AI messes about with other species, there is something even more unsettling about the process. American-Israeli artist Neri Oxman’s Golden Bee Cube, Synthetic Apiary II, 2020 uses real bees who are proffered silver and gold [nanoparticles] to create their comb structures. While the resulting hives are indeed beautiful, rendered in shades of burnished metal, there is a quality of unease imbued in them. Is the piece akin to apiary torture chambers? I wonder how the bees feel about this collaboration and whether they’d like to renegotiate the deal.

There’s no question the honeycombs are fascinating and disturbing but I don’t understand how artificial intelligence was a key factor in either version of Oxman’s synthetic apiary. In the 2022 article by Crown Honey, there’s this “Developing computational tools to learn from bees can facilitate the very beginnings of a dialogue with them [honeybees].” It’s probable that the computational tools being referenced include AI and the Crown Honey article seems to suggest those computational tools are being used to analyze the bees behaviour after the fact.

Yes, I can imagine a future where ‘strong’ AI (such as you, my friend) is in ‘dialogue’ with the bees and making suggestions and running the experiments but it’s not clear that this is the case currently. The Oxman exhibit contribution would seem to be about the future and its possibilities whereas many of the other ‘objects’ concern the past and/or the present.

Friend, let’s take a break, shall we? Part 2 is coming up.

Bank of Canada and Multiverse Computing model complex networks & cryptocurrencies with quantum computing

Given all the concern over rising inflation (McGill University press room, February 23, 2022 “Experts: Canadian inflation hits a new three-decade high” and Bank of Canada rates (Pete Evans in an April 13, 2022 article for the Canadian Broadcasting Corporation’s online news), this news release was a little unexpected both for timing (one week after the 2022 Canadian federal budget was delivered) and content (from an April 14, 2022 HKA Marketing Communications news release on EurekAlert),

Multiverse Computing, a global leader in quantum computing solutions for the financial industry and beyond with offices in Toronto and Spain, today announced it has completed a proof-of-concept project with the Bank of Canada through which the parties used quantum computing to simulate the adoption of cryptocurrency as a method of payment by non-financial firms.

“We are proud to be a trusted partner of the first G7 central bank to explore modelling of complex networks and cryptocurrencies through the use of quantum computing,” said Sam Mugel, CTO [Chief Technical Officer] at Multiverse Computing. “The results of the simulation are very intriguing and insightful as stakeholders consider further research in the domain. Thanks to the algorithm we developed together with our partners at the Bank of Canada, we have been able to model a complex system reliably and accurately given the current state of quantum computing capabilities.”

Companies may adopt various forms of payments. So, it’s important to develop a deep understanding of interactions that can take place in payments networks.

Multiverse Computing conducted its innovative work related to applying quantum computing for modelling complex economic interactions in a research project with the Bank of Canada. The project explored quantum computing technology as a way to simulate complex economic behaviour that is otherwise very difficult to simulate using traditional computational techniques.

By implementing this solution using D-Wave’s annealing quantum computer, the simulation was able to tackle financial networks as large as 8-10 players, with up to 2^90 possible network configurations. Note that classical computing approaches cannot solve large networks of practical relevance as a 15-player network requires as many resources as there are atoms in the universe.

“We wanted to test the power of quantum computing on a research case that is hard to solve using classical computing techniques,” said Maryam Haghighi, Director, Data Science at the Bank of Canada. “This collaboration helped us learn more about how quantum computing can provide new insights into economic problems by carrying out complex simulations on quantum hardware.”

Motivated by the empirical observations about the cooperative nature of adoption of cryptocurrency payments, this theoretical study found that for some industries, these digital assets would share the payments market with traditional bank transfers and cash-like instruments. The market share for each would depend on how the financial institutions respond to the cryptocurrency adoptions, and on the economic costs associated with such trades.

The quantum simulations helped generate examples that illustrate how similar firms may end up adopting different levels of cryptocurrency use.

About Multiverse Computing

Multiverse Computing is a leading quantum software company that applies quantum and quantum-inspired solutions to tackle complex problems in finance to deliver value today and enable a more resilient and prosperous economy. The company’s expertise in quantum control and computational methods as well as finance means it can secure maximum results from current quantum devices. Its flagship product, Singularity, allows financial professionals to leverage quantum computing with common software tools.  The company is targeting additional verticals as well, including mobility, energy, the life sciences and industry 4.0.

Contacts:

Multiverse Computing
www.multiversecomputing.com
contact@multiversecomputing.com
+346 60 94 11 54

I wish there was a little more information about the contents of the report (although it is nice to know they have one).

D-Wave Systems, for those who don’t know, is a Vancouver-area company that supplies hardware (here’s more from their Wikipedia entry), Note: Links have been removed,

D-Wave Systems Inc. is a Canadian quantum computing company, based in Burnaby, British Columbia, Canada. D-Wave was the world’s first company to sell computers to exploit quantum effects in their operation.[2] D-Wave’s early customers include Lockheed Martin, University of Southern California, Google/NASA and Los Alamos National Lab.

The company has to this point specialized in quantum annealing. This is a specific type of quantum computing best used to solve the kind of problem (analyzing a multi-player situation) that the Bank of Canada was trying to solve.

I checked out ‘Multiverse’ in Toronto and they claim this, “World leaders in quantum computing for the financial industry,” on their homepage.

As for the company that produced the news release, HKA Marketing Communications, based in Southern California, they claim this “Specialists in Quantum Tech PR: #1 agency in this space” on their homepage.

I checked out the Bank of Canada website and didn’t find anything about this project.

STEM (science, technology, engineering and math) brings life to the global hit television series “The Walking Dead” and a Canadian AI initiative for women and diversity

I stumbled across this June 8, 2022 AMC Networks news release in the last place I was expecting (i.e., a self-described global entertainment company’s website) to see a STEM (science, technology, engineering, and mathematics) announcement,

AMC NETWORKS CONTENT ROOM TEAMS WITH THE AD COUNCIL TO EMPOWER GIRLS IN STEM, FEATURING “THE WALKING DEAD”

AMC Networks Content Room and the Ad Council, a non-profit and leading producer of social impact campaigns for 80 years, announced today a series of new public service advertisements (PSAs) that will highlight the power of girls in STEM (science, technology, engineering and math) against the backdrop of the global hit series “The Walking Dead.”  In the spots, behind-the-scenes talent of the popular franchise, including Director Aisha Tyler, Costume Designer Vera Chow and Art Director Jasmine Garnet, showcase how STEM is used to bring the post-apocalyptic world of “The Walking Dead” to life on screen.  Created by AMC Networks Content Room, the PSAs are part of the Ad Council’s national She Can STEM campaign, which encourages girls, trans youth and non-binary youth around the country to get excited about and interested in STEM.

The new creative consists of TV spots and custom videos created specifically for TikTok and Instagram.  The spots also feature Gitanjali Rao, a 16-year-old scientist, inventor and activist, interviewing Tyler, Chow and Garnet discussing how they and their teams use STEM in the production of “The Walking Dead.”  Using before and after visuals, each piece highlights the unique and unexpected uses of STEM in the making of the series.  In addition to being part of the larger Ad Council campaign, the spots will be available on “The Walking Dead’s” social media platforms, including Facebook, Instagram, Twitter and YouTube pages, and across AMC Networks linear channels and digital platforms.

PSA:   https://youtu.be/V20HO-tUO18

Social: https://youtu.be/LnDwmZrx6lI

Said Kim Granito, EVP of AMC Networks Content Room: “We are thrilled to partner with the Ad Council to inspire young girls in STEM through the unexpected backdrop of ‘The Walking Dead.’  Over the last 11 years, this universe has been created by an array of insanely talented women that utilize STEM every day in their roles.  This campaign will broaden perceptions of STEM beyond the stereotypes of lab coats and beakers, and hopefully inspire the next generation of talented women in STEM.  Aisha Tyler, Vera Chow and Jasmine Garnet were a dream to work with and their shared enthusiasm for this mission is inspiring.”

“Careers in STEM are varied and can touch all aspects of our lives. We are proud to partner with AMC Networks Content Room on this latest work for the She Can STEM campaign. With it, we hope to inspire young girls, non-binary youth, and trans youth to recognize that their passion for STEM can impact countless industries – including the entertainment industry,” said Michelle Hillman, Chief Campaign Development Officer, Ad Council.

Women make up nearly half of the total college-educated workforce in the U.S., but they only constitute 27% of the STEM workforce, according to the U.S. Census Bureau. Research shows that many girls lose interest in STEM as early as middle school, and this path continues through high school and college, ultimately leading to an underrepresentation of women in STEM careers.  She Can STEM aims to dismantle the intimidating perceived barrier of STEM fields by showing girls, non-binary youth, and trans youth how fun, messy, diverse and accessible STEM can be, encouraging them to dive in, no matter where they are in their STEM journey.

Since the launch of She Can STEM in September 2018, the campaign has been supported by a variety of corporate, non-profit and media partners. The current funder of the campaign is IF/THEN, an initiative of Lyda Hill Philanthropies.  Non-profit partners include Black Girls Code, ChickTech, Girl Scouts of the USA, Girls Inc., Girls Who Code, National Center for Women & Information Technology, The New York Academy of Sciences and Society of Women Engineers.

About AMC Networks Inc.

AMC Networks (Nasdaq: AMCX) is a global entertainment company known for its popular and critically-acclaimed content. Its brands include targeted streaming services AMC+, Acorn TV, Shudder, Sundance Now, ALLBLK, and the newest addition to its targeted streaming portfolio, the anime-focused HIDIVE streaming service, in addition to AMC, BBC AMERICA (operated through a joint venture with BBC Studios), IFC, SundanceTV, WE tv and IFC Films. AMC Studios, the Company’s in-house studio, production and distribution operation, is behind some of the biggest titles and brands known to a global audience, including The Walking Dead, the Anne Rice catalog and the Agatha Christie library.  The Company also operates AMC Networks International, its international programming business, and 25/7 Media, its production services business.

About Content Room

Content Room is AMC Networks’ award-winning branded entertainment studio that collaborates with advertising partners to build brand stories and create bespoke experiences across an expanding range of digital, social, and linear platforms. Content Room enables brands to fully tap into the company’s premium programming, distinct IP, deep talent roster and filmmaking roots through an array of creative partnership opportunities— from premium branded content and integrations— to franchise and gaming extensions.

Content Room is also home to the award-winning digital content studio which produces dozens of original series annually, which expands popular AMC Networks scripted programming for both fans and advertising partners by leveraging the built-in massive series and talent fandoms.

The Ad Council
The Ad Council is where creativity and causes converge. The non-profit organization brings together the most creative minds in advertising, media, technology and marketing to address many of the nation’s most important causes. The Ad Council has created many of the most iconic campaigns in advertising history. Friends Don’t Let Friends Drive Drunk. Smokey Bear. Love Has No Labels.

The Ad Council’s innovative social good campaigns raise awareness, inspire action and save lives. To learn more, visit AdCouncil.org, follow the Ad Council’s communities on Facebook and Twitter, and view the creative on YouTube.

You can find the ‘She Can Stem’ Ad Council initiative here.

Canadian women and the AI4Good Lab

A June 9, 2022 posting on the Borealis AI website describes an artificial intelligence (AI) initiative designed to encourage women to enter the field,

The AI4Good Lab is one of those programs that creates exponential opportunities. As the leading Canadian AI-training initiative for women-identified STEM students, the lab helps encourage diversity in the field of AI. Participants work together to use AI to solve a social problem, delivering untold benefits to their local communities. And they work shoulder-to-shoulder with other leaders in the field of AI, building their networks and expanding the ecosystem.

At this year’s [2022] AI4Good Lab Industry Night, program partners – like Borealis AI, RBC [Royal Bank of Canada], DeepMind, Ivado and Google – had an opportunity to (virtually) meet the nearly 90  participants of this year’s program. Many of the program’s alumni were also in attendance. So, too, were representatives from CIFAR [Canadian Institute for Advanced Research], one of Canada’s leading global research organizations.

Industry participants – including Dr. Eirene Seiradaki, Director of Research Partnerships at Borealis AI, Carey Mende-Gibson, RBC’s Location Intelligence ambassador, and Lucy Liu, Director of Data Science at RBC – talked with attendees about their experiences in the AI industry, discussed career opportunities and explored various career paths that the participants could take in the industry. For the entire two hours, our three tables  and our virtually cozy couches were filled to capacity. It was only after the end of the event that we had the chance to exchange visits to the tables of our partners from CIFAR and AMII [Alberta Machine Intelligence Institute]. Eirene did not miss the opportunity to catch up with our good friend, Warren Johnston, and hear first-hand the news from AMII’s recent AI Week 2022.

Borealis AI is funded by the Royal Bank of Canada. Somebody wrote this for the homepage (presumably tongue in cheek),

All you can bank on.

The AI4Good Lab can be found here,

The AI4Good Lab is a 7-week program that equips women and people of marginalized genders with the skills to build their own machine learning projects. We emphasize mentorship and curiosity-driven learning to prepare our participants for a career in AI.

The program is designed to open doors for those who have historically been underrepresented in the AI industry. Together, we are building a more inclusive and diverse tech culture in Canada while inspiring the next generation of leaders to use AI as a tool for social good.

A most recent programme ran (May 3 – June 21, 2022) in Montréal, Toronto, and Edmonton.

There are a number of AI for Good initiatives including this one from the International Telecommunications Union (a United Nations Agency).

For the curious, I have a May 10, 2018 post “The Royal Bank of Canada reports ‘Humans wanted’ and some thoughts on the future of work, robots, and artificial intelligence” where I ‘examine’ RBC and its AI initiatives.

Hydrogen In Motion (H2M), its solid state hydrogen storage nanomaterial, and running for Vancouver (Canada) City Council?

Vancouver city politics don’t usually feature here. but this June 13 ,2022 article by Kenneth Chan for the Daily Hive suggests that might be changing,

Colleen Hardwick’s TEAM for a Livable Vancouver party has officially nominated six candidates to fill Vancouver city councillor seats in the upcoming civic election.

….

Grace Quan is a co-founder and the head of Hydrogen In Motion, which specializes in developing a nanomaterial to store hydrogen [emphasis mine]. She previously worked for the Canadian International Development Agency and in the Foreign Service and served as a senior advisor to the CFO of the Treasury Board of Canada.

There’s not a lot of detail in the description which is reasonable considering five other candidates were being announced.

Since this blog is focused on nanotechnology and other emerging technologies, the word ‘nanomaterial’ popped out. Its use in the candidate’s description is close to meaningless, similar to saying that your storage container is made from a material. In this case, the material (presumably) is exploiting advantages found at the nanoscale. As for Quan, the work experience cited highlights experience working in government agencies but doesn’t include any technology development.

My main interest is the technology followed by the business aspects. As for why Quan is running for political office and how she will find the time; I can only offer speculation.

Hydrogen in Motion’s storage technology

Obviously the place to look is the Hydrogen in Motion (H2M) website. Descriptions of their technology are vague (from the company’s Hydrogen page),

Hydrogen In Motion solution is leading a breakthrough in solid state hydrogen storage nanomaterial. H2M hydrogen storage redefines the use of hydrogen fuel technologies and simplifying its logistical applications. Our technology offers hydrogen energy solution that has positive economic and environmental impact and provides an infinite source of constant energy with no emissions, low cost commitment and versatility with compact storage. Our technology solution has resolved the constraints currently burdening the hydrogen economy, making it the most viable solution for commercialization of future clean energy.

Which nanomaterial(s) are they using? Carbon nanotubes, graphene, gold nanoparticles, borophene, perovskite, fullerenes, etc.? The company’s Products page offers a little more information and some diagrams,

H2M fuel cell technology is well-adapted for a wide range of applications, from nomadic to stationary, enabling for easy transition to emission free systems. As the H2M nanomaterial is conformable, H2M hydrogen storage containers can be shaped to meet the application requirements; from extending flight duration for drones to grid scale renewable energy storage for solar, wind, and wave. H2M is the most effective Hydrogen storage ever designed.

There are no product names nor pictures of products other than this, which is in the banner,

[downloaded from https://www.hydrogeninmotion.com/products/]

No names, no branding, no product specifications.

Unusually for a startup, neither member of the executive team seems to have been the scientist who developed or is developing the nanomaterial for this technology. Also unusual, there’s not a scientific advisory board. Grace Quan has credentials as a Certified Public Accountant (CPA) and holds a Master of Business Administration (MB). Plus there’s this from the About Us page,

Grace has over 25 years of experience spanning a wealth of sectors including government – Federal Government of Canada, the Provincial Government (Minister’s Office) of Alberta; Academia – University of British Columbia, and Management of a Flying School; Not-for-Profit / Research Funding Agency – Genome British Columbia; and private sector with various management positions. Grace is well positioned to lead H2M in navigating the complicated world of Federal and Provincial politics and program funding requirements. At the same time Grace’s skills and expertise in the private sector will be invaluable in providing strategic direction in the marketing, finance, human resource, and production domains.

The other member of the executive team, Mark Cannon, the chief technical officer, has a Master of Science and a Bachelor of Mathematics. Plus there’s this from the About Us page,

Mark has over thirty years of experience commercializing academic developments, covering such diverse fields as: real time vision analysis, electromagnetic measurement and simulation, Computer Aided Design of printed circuit boards and microchips, custom integrated semiconductor chips for encryption, optical fibre signal measurement and recovery, and building energy management systems. He has worked at major research and development companies such as Systemhouse, Bell-Northern Research (later absorbed by Nortel), and Cadence Design Systems. Mark is very familiar with technology startups, the exigencies of entrepreneurship, and the business cycle of introducing new products into the market having cofounded two successful start-ups: Unicad Inc. (bought by Cooper & Chyan Technologies) and Viewnyx Corporation. He has also held key roles in two other start-ups, Chrysalis ITS and Optovation Inc.

His experience seems almost entirely focused on electronics and optics. It’s not clear to me how this experience is transferable to hydrogen storage and nanomaterials. (As well, his TechCrunch profile lists him as having founded one company rather than the three listed in his company’s profile.)

The company’s R&D page offers an overview of the process, the skills needed to conduct the research, and some quite interesting details about hydrogen storage but no scientific papers,

Conceive/Improve Theoretical Modelling

The theoretical team uses physical chemical theory starting at the quantum level using density functional theory (DFT) to model material composed of the elements that provide a structure and attract hydrogen. Once the theoretical material has been tested on that scale, further models are built using Molecular dynamics, thermodynamic modeling and finally computational fluid dynamic modeling. The team continuously provide support by modeling the different stages of synthesis to determine the optimal parameters required to achieve the correct synthesis.

Material Synthesis

The synthesis team uses a variety of chemical and physical state alteration techniques to synthesize the desired material. Series of experiments are devised to build the desired material usually one stage at a time. Usually a series of experiments are planned to determine key synthesis parameters that effect the material. Once a base material is completed, a series of experiments is devised and repeated to bring it to the next stage.

Characterization

Test Hydrogen Absorption & Desorption

Ultimately, the material’s performance is based on the results from the H2MS hydrogen measurement system. Once a material has been successfully synthesized and validated using the H2MS, multiple measurements are made at different temperatures for multiple cycles. This validates the robustness, operating range, and re-usability of the hydrogen storage material. For our first material [emphasis mine], a scale up plan is being developed. Moving from laboratory scale to manufacturing scale [emphasis mine] introduces several challenges in the synthesis of material. This includes equipment selection, fluid and thermal dynamic effects at a larger scale, reaction kinetics, chemical equilibrium and of course, cost.

At what stage is this company?

The business

There are a couple of promising business developments. First, there’s a September 1, 2021 Hydrogen in Motion news release (Note: Links have been removed),

Loop Energy (TSX: LPEN), a developer and manufacturer of hydrogen fuel cell-based solutions, and Hydrogen In Motion (H2M), a leading provider of solid state hydrogen storage, announce their plans to collaborate on converting  a Southern Railway of BC owned and operated diesel electric switcher locomotive to hydrogen electric.

The two British Columbia-based companies will use locally developed technology, including Loop Energy’s 50kw eFlow™ fuel cell system and a low pressure solid state hydrogen storage tank developed by H2M. The project signifies the first instance of Loop supplying its products for use in a rail transport application.

“This is an exciting phase for the hydrogen fuel cell industry as this proves that it is technically and economically feasible to convert diesel-powered switcher locomotives to hydrogen fuel cell-based power systems,” said Grace Quan, CEO of Hydrogen-in-Motion. “The introduction of a hydrogen infrastructure into railyards reduces air contaminants and greenhouse gases and brings clean technologies, job growth and innovation to local communities.”

A few months before, a July 30, 2021 Hydrogen in Motion news release announced an international deal,

Hydrogen In Motion (H2M) announced a collaboration with H2e Power [h2e Power Systems] out of Pune, India for a project to assess, design, install and demonstrate a hydrogen fuel cell 3-Wheeler using H2e PEM Fuel Cell integrated with Hydrogen In Motion’s innovative solid state hydrogen storage technology onboard. This Indo-Canadian collaboration leverages the zero emission and hydrogen strategies released in India and Canada. Hydrogen In Motion is receiving advisory services and up to $600,000 in funding support for this project through the Canadian International Innovation Program (CIIP). CIIP is a funding program offered by Global Affairs Canada [emphasis mine] and is delivered in collaboration with the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP). Respectively in India, H2e’s contributions towards this collaboration are supported by the Department of Science & Technology (DST) in collaboration with Global Innovation and Technology Alliance (GITA).

About This Project – This project will install a hydrogen fuel cell range extender using H2M low pressure hydrogen storage tanks on an electric powered three-wheeled auto rickshaw. Project goal is to significantly extend operational range and provide auxiliary power for home use when not in service.

The lack of scientific papers about the company’s technology is a little concerning. It’s not unheard of but combined with not identifying the scientist/inventor who developed the technology or identifying the source for the technology (in Canada, it’s almost always a university), or giving details about the technology or giving product details or noting that their products are being beta tested (?) in two countries India and Canada, or information about funding (where do they get their money?), or having a scientific advisory board, raises questions. The answer may be simple. They don’t place much value on keeping their website up to date as they are busy.

I did find some company details on the Companies of Canada.com website,

Hydrogen In Motion Inc. (H2M) is a company from Vancouver BC Canada. The company has corporate status: Active.

This business was incorporated 8 years ago on 8th January 2014

Hydrogen In Motion Inc. (H2M) is governed under the Canada Business Corporations Act – 2014-01-08. It a company of type: Non-distributing corporation with 50 or fewer shareholders.

The date of the company’s last Annual Meeting is 2021-01-01. The status of its annual filings are: 2021 -Filed, 2020 -Filed, 2019 -Filed.

Kona Equity offers an analysis (from the second quarter of 2019 to the fourth quarter of 2020),

Hydrogen In Motion

Founded in 2014

Strengths

There are no known strengths for Hydrogen In Motion

Weaknesses

Hydrogen In Motion has a very small market share in their industry

Revenue generated per employee is less than the industry average

Revenue growth is less than the industry average

The number of employees is not growing as fast as the industry average

Variance of revenue growth is more than the industry average

7 employees

Employee growth rate from first known quarter to current -69.6%

I’d love to see a more recent analysis taking into account the 2021 business deals.

It’s impossible to tell when this job was posted but it provides some interesting insight, All the emphases are mine,

We are looking for an accomplished Chemical Process Engineer to lead our nanomaterial and carbon-rich material production, development and scale-up efforts. The holder of this position will be responsible for leading a team of engineers and technicians in the designing, developing and optimizing of process unit operations to provide high quality nanomaterials at various scales ranging from Research and Development to Commercial Manufacturing with good manufacturing practices (cGMP). The successful candidate is expected to independently strategize, analyze, design and control product scale-up to meet volume and quality demands.

Finally, there’s a chemical engineer or two. Plus, according to the company’s LinkedIn profile, there’s a theoretical physicist, Andrey Tokarev. Two locations are listed for Hydrogen in Motion, the Cordova St. office and something at 12388 88 Ave, Surrey. The company size is listed at 11 to 50 employees.

Grace Quan is good at getting government support for her company as this February 2019 story on the Government of Canada website shows,

Mark Cannon, Hydrogen in Motion CTO, Quak Foo Lee, chemical engineer, Angus Hui, co-op student, Dr. Pei Pei, research associate, Grace Quan, CEO, Sahida Kureshi PhD Candidate, and Dr. Andrey Tokerav, theoretical physicist. [downloaded from https://www.international.gc.ca/world-monde/stories-histoires/2019/CPTPP-hydrogen.aspx?lang=eng]

Canada in Asia-Pacific

Trade diversification | February 2019

Grace Quan’s goal is to deliver hydrogen around the world to help the environment and address climate change.

Quan is the CEO of Vancouver-based Hydrogen in Motion, a clean-tech company leading the way in hydrogen storage.

The number one problem with hydrogen is how to store it, which is why Quan founded Hydrogen in Motion. She set out to find a way to get hydrogen to people around the world.

Quan’s company has figured out how to do this. By using a material that soaks up hydrogen like a sponge, more of it can be stored at a lower pressure and at lower cost.

In the future, clean energy, including hydrogen, should become the method of choice to power anything that requires gas or electricity. For example, vehicles, snow blowers and drones could be powered by hydrogen in the future. Hydrogen is an infinite source of clean energy that can lessen the environmental impact from other sources of energy.

Thanks to the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP), Quan says she can explore new markets in the Asia-Pacific region for hydrogen export.

Japan is a new market that Quan’s company will explore as a result of the CPTPP. There’s a lot of opportunity there, with Tokyo hosting the 2020 Olympics, which are expected to be powered by hydrogen.

Quan recently returned from a trade mission to India [emphasis mine], where local trade commissioners helped her set up a meeting with a major auto maker.

In 2020, Hydrogen in Motion was a ‘success story‘ for Canada’s Scientific Research and Experimental Development (SR&ED) Tax Incentive Program (Note: A link has been removed),

H2M was selected for the free in-person First-time claimant advisory service when filing its first scientific research and experimental development (SR&ED) claim. Since then, the SR&ED tax incentives have had a significant impact on the company’s work. The company is not only thankful for the program’s funding, but also to the SR&ED staff for their hard work and assistance, especially during the pandemic.

The company’s Chief Executive Officer, Grace Quan, had the following comments:

“In the context of COVID-19 shutdowns and general business disruption, the SR&ED tax incentives have become a critical source of funds as other sources were put on hold due to the pandemic and the financial uncertainty of the times. I wish to express my extreme gratitude for the consideration, efforts and support, as well as thanks, to the Canadian government, the SR&ED Program and its staff for their compassionate and empathetic treatment of individuals and businesses. The staff was friendly, professional, prompt and went above and beyond to help a small business like Hydrogen In Motion. They were a pleasure to work with and were extremely effective in problem resolution and facilitating processing of our SR&ED refund to provide much needed cash flow during these difficult times.”

As you might expect from someone running for political office, Quan is good at promoting herself. From her Advisory Board profile page for the Vancouver Economic Commission,

As President & CEO of Hydrogen In Motion Inc. (H2M), Grace brings fiduciary accountability and strategic vision to the table with her CPA/CMA [certified management accountant] and MBA credentials. Grace has a vast range of financial and managerial experience in private and public sectors from managing a Flying School, to working in a Provincial Minister’s office, to helping to manage the $250 billion dollar budget for the Treasury Board Secretariat of the Government of Canada. 

In 2018 Grace Quan, CEO was recognized by BC Business magazine as one of the 50 Most Influential Women In STEM. [emphasis mine]

July 28, 2021 it was announced that Quan became a member of the World Hydrogen Advisory Board of the Sustainable Energy Council (UK).

Speculating about a political candidate

Grace Quan’s electoral run seems like odd timing. If your company just signed two deals less than a year ago during what seems to be an upswing in its business affairs then running for office (an almost full time job in itself) as a city councillor (a full time job, should you be elected) is an unexpected move from someone with no experience in public office.

Another surprising thing? The British Columbia Centre for Innovation and Clean Energy (CICE) announced a new consortium according to a Techcouver.com June 9, 2022 news item (about four days before the announcement of Quan’s political candidacy on the Daily Hive),

The British Columbia Centre for Innovation and Clean Energy (CICE) is partnering with businesses and government organizations to drive B.C.’s low-carbon hydrogen economy forward, with the launch of the B.C. Hydrogen Changemakers Consortium (BCHCC).

The partnership was announced at last night’s official Consortium launch event hosted by CICE and attended by leading B.C. hydrogen players, investors, and government officials. The Consortium launch is part of CICE’s previously announced Hydrogen Blueprint Investment, which will lay a foundation for the establishment of a hydrogen hub in Metro Vancouver, co-locating hydrogen supply and demand.

The group is expected to grow as projects and collaborations increase. To date, the Consortium members include: Ballard Power Systems, Capilano Maritime Design Ltd., Climate Action Secretariat, Fort Capital, FortisBC, Geazone Eco-Courier, Hydra Energy, HTEC, Innovative Clean Energy Fund, InBC Investment Corp., Modo, Parkland Refining, Powertech Labs, and TransLink.

Hydrogen in Motion doesn’t seem to be one of the inaugural members, which may mean nothing or may hint at why Quan is running for office.

Three possibilities

Perhaps the company is not doing so well? There’s a very high failure rate with technology companies. The ‘valley of death’ is the description for taking a development from the lab and turning it into a business (which is almost always highly dependent on government funding). Assuming the company manages to get something to market and finds customers, the next stage, growing the company from a few million in revenues to 10s and 100s of millions of dollars is equally fraught.

Keeping the company afloat for eight years is a big accomplishment especially when you factor in COVID-19 which has had a devastating impact on businesses large and small.

Alternatively, the company is being acquired (or would that be absorbed?) by a larger company. Entrepreneurs in British Columbia have a long history of growing their tech companies with the goal of being acquired and getting a large payout. Quan’s co-founder certainly has experience with growing a company and then selling it to a larger company.

Finally, the company is doing just fine but Quan is bored and needs a new challenge (which may be the case in the other two scenarios as well). if you look at her candidate profile page, you’ll see she has a range of interests.

Note: I am not offering an opinion on Quan’s suitability for political office. This is neither an endorsement nor an ‘anti-endorsement’.