Tag Archives: MaRS Discovery District

FrogHeart’s 2023 comes to an end as 2024 comes into view

My personal theme for this last year (2023) and for the coming year was and is: catching up. On the plus side, my 2023 backlog (roughly six months) to be published was whittled down considerably. On the minus side, I start 2024 with a backlog of two to three months.

2023 on this blog had a lot in common with 2022 (see my December 31, 2022 posting), which may be due to what’s going on in the world of emerging science and technology or to my personal interests or possibly a bit of both. On to 2023 and a further blurring of boundaries:

Energy, computing and the environment

The argument against paper is that it uses up resources, it’s polluting, it’s affecting the environment, etc. Somehow the part where electricity which underpins so much of our ‘smart’ society does the same thing is left out of the discussion.

Neuromorphic (brainlike) computing and lower energy

Before launching into the stories about lowering energy usage, here’s an October 16, 2023 posting “The cost of building ChatGPT” that gives you some idea of the consequences of our insatiable desire for more computing and more ‘smart’ devices,

In its latest environmental report, Microsoft disclosed that its global water consumption spiked 34% from 2021 to 2022 (to nearly 1.7 billion gallons , or more than 2,500 Olympic-sized swimming pools), a sharp increase compared to previous years that outside researchers tie to its AI research. [emphases mine]

“It’s fair to say the majority of the growth is due to AI,” including “its heavy investment in generative AI and partnership with OpenAI,” said Shaolei Ren, [emphasis mine] a researcher at the University of California, Riverside who has been trying to calculate the environmental impact of generative AI products such as ChatGPT.

Why it matters: Microsoft’s five WDM [West Des Moines in Iowa] data centers — the “epicenter for advancing AI” — represent more than $5 billion in investments in the last 15 years.

Yes, but: They consumed as much as 11.5 million gallons of water a month for cooling, or about 6% of WDM’s total usage during peak summer usage during the last two years, according to information from West Des Moines Water Works.

The focus is AI but it doesn’t take long to realize that all computing has energy and environmental costs. I have more about Ren’s work and about water shortages in the “The cost of building ChatGPT” posting.

This next posting would usually be included with my other art/sci postings but it touches on the issues. My October 13, 2023 posting about Toronto’s Art/Sci Salon events, in particular, there’s the Streaming Carbon Footprint event (just scroll down to the appropriate subhead). For the interested, I also found this 2022 paper “The Carbon Footprint of Streaming Media:; Problems, Calculations, Solutions” co-authored by one of the artist/researchers (Laura U. Marks, philosopher and scholar of new media and film at Simon Fraser University) who presented at the Toronto event.

I’m late to the party; Thomas Daigle posted a January 2, 2020 article about energy use and our appetite for computing and ‘smart’ devices for the Canadian Broadcasting Corporation’s online news,

For those of us binge-watching TV shows, installing new smartphone apps or sharing family photos on social media over the holidays, it may seem like an abstract predicament.

The gigabytes of data we’re using — although invisible — come at a significant cost to the environment. Some experts say it rivals that of the airline industry. 

And as more smart devices rely on data to operate (think internet-connected refrigerators or self-driving cars), their electricity demands are set to skyrocket.

“We are using an immense amount of energy to drive this data revolution,” said Jane Kearns, an environment and technology expert at MaRS Discovery District, an innovation hub in Toronto.

“It has real implications for our climate.”

Some good news

Researchers are working on ways to lower the energy and environmental costs, here’s a sampling of 2023 posts with an emphasis on brainlike computing that attest to it,

If there’s an industry that can make neuromorphic computing and energy savings sexy, it’s the automotive indusry,

On the energy front,

Most people are familiar with nuclear fission and some its attendant issues. There is an alternative nuclear energy, fusion, which is considered ‘green’ or greener anyway. General Fusion is a local (Vancouver area) company focused on developing fusion energy, alongside competitors from all over the planet.

Part of what makes fusion energy attractive is that salt water or sea water can be used in its production and, according to that December posting, there are other applications for salt water power,

More encouraging developments in environmental science

Again, this is a selection. You’ll find a number of nano cellulose research projects and a couple of seaweed projects (seaweed research seems to be of increasing interest).

All by myself (neuromorphic engineering)

Neuromorphic computing is a subset of neuromorphic engineering and I stumbled across an article that outlines the similarities and differences. My ‘summary’ of the main points and a link to the original article can be found here,

Oops! I did it again. More AI panic

I included an overview of the various ‘recent’ panics (in my May 25, 2023 posting below) along with a few other posts about concerning developments but it’s not all doom and gloom..

Governments have realized that regulation might be a good idea. The European Union has a n AI act, the UK held an AI Safety Summit in November 2023, the US has been discussing AI regulation with its various hearings, and there’s impending legislation in Canada (see professor and lawyer Michael Geist’s blog for more).

A long time coming, a nanomedicine comeuppance

Paolo Macchiarini is now infamous for his untested, dangerous approach to medicine. Like a lot of people, I was fooled too as you can see in my August 2, 2011 posting, “Body parts nano style,”

In early July 2011, there were reports of a new kind of transplant involving a body part made of a biocomposite. Andemariam Teklesenbet Beyene underwent a trachea transplant that required an artificial windpipe crafted by UK experts then flown to Sweden where Beyene’s stem cells were used to coat the windpipe before being transplanted into his body.

It is an extraordinary story not least because Beyene, a patient in a Swedish hospital planning to return to Eritrea after his PhD studies in Iceland, illustrates the international cooperation that made the transplant possible.

The scaffolding material for the artificial windpipe was developed by Professor Alex Seifalian at the University College London in a landmark piece of nanotechnology-enabled tissue engineering. …

Five years later I stumbled across problems with Macchiarini’s work as outlined in my April 19, 2016 posting, “Macchiarini controversy and synthetic trachea transplants (part 1 of 2)” and my other April 19, 2016 posting, “Macchiarini controversy and synthetic trachea transplants (part 2 of 2)“.

This year, Gretchen Vogel (whose work was featured in my 2016 posts) has written a June 21, 2023 update about the Macchiarini affair for Science magazine, Note: Links have been removed,

Surgeon Paolo Macchiarini, who was once hailed as a pioneer of stem cell medicine, was found guilty of gross assault against three of his patients today and sentenced to 2 years and 6 months in prison by an appeals court in Stockholm. The ruling comes a year after a Swedish district court found Macchiarini guilty of bodily harm in two of the cases and gave him a suspended sentence. After both the prosecution and Macchiarini appealed that ruling, the Svea Court of Appeal heard the case in April and May. Today’s ruling from the five-judge panel is largely a win for the prosecution—it had asked for a 5-year sentence whereas Macchiarini’s lawyer urged the appeals court to acquit him of all charges.

Macchiarini performed experimental surgeries on the three patients in 2011 and 2012 while working at the renowned Karolinska Institute. He implanted synthetic windpipes seeded with stem cells from the patients’ own bone marrow, with the hope the cells would multiply over time and provide an enduring replacement. All three patients died when the implants failed. One patient died suddenly when the implant caused massive bleeding just 4 months after it was implanted; the two others survived for 2.5 and nearly 5 years, respectively, but suffered painful and debilitating complications before their deaths.

In the ruling released today, the appeals judges disagreed with the district court’s decision that the first two patients were treated under “emergency” conditions. Both patients could have survived for a significant length of time without the surgeries, they said. The third case was an “emergency,” the court ruled, but the treatment was still indefensible because by then Macchiarini was well aware of the problems with the technique. (One patient had already died and the other had suffered severe complications.)

A fictionalized tv series ( part of the Dr. Death anthology series) based on Macchiarini’s deceptions and a Dr. Death documentary are being broadcast/streamed in the US during January 2024. These come on the heels of a November 2023 Macchiarini documentary also broadcast/streamed on US television.

Dr. Death (anthology), based on the previews I’ve seen, is heavily US-centric, which is to be expected since Adam Ciralsky is involved in the production. Ciralsky wrote an exposé about Macchiarini for Vanity Fair published in 2016 (also featured in my 2016 postings). From a December 20, 2023 article by Julie Miller for Vanity Fair, Note: A link has been removed,

Seven years ago [2016], world-renowned surgeon Paolo Macchiarini was the subject of an ongoing Vanity Fair investigation. He had seduced award-winning NBC producer Benita Alexander while she was making a special about him, proposed, and promised her a wedding officiated by Pope Francis and attended by political A-listers. It was only after her designer wedding gown was made that Alexander learned Macchiarini was still married to his wife, and seemingly had no association with the famous names on their guest list.

Vanity Fair contributor Adam Ciralsky was in the midst of reporting the story for this magazine in the fall of 2015 when he turned to Dr. Ronald Schouten, a Harvard psychiatry professor. Ciralsky sought expert insight into the kind of fabulist who would invent and engage in such an audacious lie.

“I laid out the story to him, and he said, ‘Anybody who does this in their private life engages in the same conduct in their professional life,” recalls Ciralsky, in a phone call with Vanity Fair. “I think you ought to take a hard look at his CVs.”

That was the turning point in the story for Ciralsky, a former CIA lawyer who soon learned that Macchiarini was more dangerous as a surgeon than a suitor. …

Here’s a link to Ciralsky’s original article, which I described this way, from my April 19, 2016 posting (part 2 of the Macchiarini controversy),

For some bizarre frosting on this disturbing cake (see part 1 of the Macchiarini controversy and synthetic trachea transplants for the medical science aspects), a January 5, 2016 Vanity Fair article by Adam Ciralsky documents Macchiarini’s courtship of an NBC ([US] National Broadcasting Corporation) news producer who was preparing a documentary about him and his work.

[from Ciralsky’s article]

“Macchiarini, 57, is a magnet for superlatives. He is commonly referred to as “world-renowned” and a “super-surgeon.” He is credited with medical miracles, including the world’s first synthetic organ transplant, which involved fashioning a trachea, or windpipe, out of plastic and then coating it with a patient’s own stem cells. That feat, in 2011, appeared to solve two of medicine’s more intractable problems—organ rejection and the lack of donor organs—and brought with it major media exposure for Macchiarini and his employer, Stockholm’s Karolinska Institute, home of the Nobel Prize in Physiology or Medicine. Macchiarini was now planning another first: a synthetic-trachea transplant on a child, a two-year-old Korean-Canadian girl named Hannah Warren, who had spent her entire life in a Seoul hospital. … “

Other players in the Macchiarini story

Pierre Delaere, a trachea expert and professor of head and neck surgery at KU Leuven (a university in Belgium) was one of the first to draw attention to Macchiarini’s dangerous and unethical practices. To give you an idea of how difficult it was to get attention for this issue, there’s a September 1, 2017 article by John Rasko and Carl Power for the Guardian illustrating the issue. Here’s what they had to say about Delaere and other early critics of the work, Note: Links have been removed,

Delaere was one of the earliest and harshest critics of Macchiarini’s engineered airways. Reports of their success always seemed like “hot air” to him. He could see no real evidence that the windpipe scaffolds were becoming living, functioning airways – in which case, they were destined to fail. The only question was how long it would take – weeks, months or a few years.

Delaere’s damning criticisms appeared in major medical journals, including the Lancet, but weren’t taken seriously by Karolinska’s leadership. Nor did they impress the institute’s ethics council when Delaere lodged a formal complaint. [emphases mine]

Support for Macchiarini remained strong, even as his patients began to die. In part, this is because the field of windpipe repair is a niche area. Few people at Karolinska, especially among those in power, knew enough about it to appreciate Delaere’s claims. Also, in such a highly competitive environment, people are keen to show allegiance to their superiors and wary of criticising them. The official report into the matter dubbed this the “bandwagon effect”.

With Macchiarini’s exploits endorsed by management and breathlessly reported in the media, it was all too easy to jump on that bandwagon.

And difficult to jump off. In early 2014, four Karolinska doctors defied the reigning culture of silence [emphasis mine] by complaining about Macchiarini. In their view, he was grossly misrepresenting his results and the health of his patients. An independent investigator agreed. But the vice-chancellor of Karolinska Institute, Anders Hamsten, wasn’t bound by this judgement. He officially cleared Macchiarini of scientific misconduct, allowing merely that he’d sometimes acted “without due care”.

For their efforts, the whistleblowers were punished. [emphasis mine] When Macchiarini accused one of them, Karl-Henrik Grinnemo, of stealing his work in a grant application, Hamsten found him guilty. As Grinnemo recalls, it nearly destroyed his career: “I didn’t receive any new grants. No one wanted to collaborate with me. We were doing good research, but it didn’t matter … I thought I was going to lose my lab, my staff – everything.”

This went on for three years until, just recently [2017], Grinnemo was cleared of all wrongdoing.

It is fitting that Macchiarini’s career unravelled at the Karolinska Institute. As the home of the Nobel prize in physiology or medicine, one of its ambitions is to create scientific celebrities. Every year, it gives science a show-business makeover, picking out from the mass of medical researchers those individuals deserving of superstardom. The idea is that scientific progress is driven by the genius of a few.

It’s a problematic idea with unfortunate side effects. A genius is a revolutionary by definition, a risk-taker and a law-breaker. Wasn’t something of this idea behind the special treatment Karolinska gave Macchiarini? Surely, he got away with so much because he was considered an exception to the rules with more than a whiff of the Nobel about him. At any rate, some of his most powerful friends were themselves Nobel judges until, with his fall from grace, they fell too.

The September 1, 2017 article by Rasko and Power is worth the read if you have the interest and the time. And, Delaere has written up a comprehensive analysis, which includes basic information about tracheas and more, “The Biggest Lie in Medical History” 2020, PDF, 164 pp., Creative Commons Licence).

I also want to mention Leonid Schneider, science journalist and molecular cell biologist, whose work the Macchiarini scandal on his ‘For Better Science’ website was also featured in my 2016 pieces. Schneider’s site has a page titled, ‘Macchiarini’s trachea transplant patients: the full list‘ started in 2017 and which he continues to update with new information about the patients. The latest update was made on December 20, 2023.

Promising nanomedicine research but no promises and a caveat

Most of the research mentioned here is still in the laboratory. i don’t often come across work that has made its way to clinical trials since the focus of this blog is emerging science and technology,

*If you’re interested in the business of neurotechnology, the July 17, 2023 posting highlights a very good UNESCO report on the topic.

Funky music (sound and noise)

I have couple of stories about using sound for wound healing, bioinspiration for soundproofing applications, detecting seismic activity, more data sonification, etc.

Same old, same old CRISPR

2023 was relatively quiet (no panics) where CRISPR developments are concerned but still quite active.

Art/Sci: a pretty active year

I didn’t realize how active the year was art/sciwise including events and other projects until I reviewed this year’s postings. This is a selection from 2023 but there’s a lot more on the blog, just use the search term, “art/sci,” or “art/science,” or “sciart.”

While I often feature events and projects from these groups (e.g., June 2, 2023 posting, “Metacreation Lab’s greatest hits of Summer 2023“), it’s possible for me to miss a few. So, you can check out Toronto’s Art/Sci Salon’s website (strong focus on visual art) and Simon Fraser University’s Metacreation Lab for Creative Artificial Intelligence website (strong focus on music).

My selection of this year’s postings is more heavily weighted to the ‘writing’ end of things.

Boundaries: life/nonlife

Last year I subtitled this section, ‘Aliens on earth: machinic biology and/or biological machinery?” Here’s this year’s selection,

Canada’s 2023 budget … military

2023 featured an unusual budget where military expenditures were going to be increased, something which could have implications for our science and technology research.

Then things changed as Murray Brewster’s November 21, 2023 article for the Canadian Broadcasting Corporation’s (CBC) news online website comments, Note: A link has been removed,

There was a revelatory moment on the weekend as Defence Minister Bill Blair attempted to bridge the gap between rhetoric and reality in the Liberal government’s spending plans for his department and the Canadian military.

Asked about an anticipated (and long overdue) update to the country’s defence policy (supposedly made urgent two years ago by Russia’s full-on invasion of Ukraine), Blair acknowledged that the reset is now being viewed through a fiscal lens.

“We said we’re going to bring forward a new defence policy update. We’ve been working through that,” Blair told CBC’s Rosemary Barton Live on Sunday.

“The current fiscal environment that the country faces itself does require (that) that defence policy update … recognize (the) fiscal challenges. And so it’ll be part of … our future budget processes.”

One policy goal of the existing defence plan, Strong, Secure and Engaged, was to require that the military be able to concurrently deliver “two sustained deployments of 500 [to] 1,500 personnel in two different theaters of operation, including one as a lead nation.”

In a footnote, the recent estimates said the Canadian military is “currently unable to conduct multiple operations concurrently per the requirements laid out in the 2017 Defence Policy. Readiness of CAF force elements has continued to decrease over the course of the last year, aggravated by decreasing number of personnel and issues with equipment and vehicles.”

Some analysts say they believe that even if the federal government hits its overall budget reduction targets, what has been taken away from defence — and what’s about to be taken away — won’t be coming back, the minister’s public assurances notwithstanding.

10 years: Graphene Flagship Project and Human Brain Project

Graphene and Human Brain Project win biggest research award in history (& this is the 2000th post)” on January 28, 2013 was how I announced the results of what had been a a European Union (EU) competition that stretched out over several years and many stages as projects were evaluated and fell to the wayside or were allowed onto the next stage. The two finalists received €1B each to be paid out over ten years.

Future or not

As you can see, there was plenty of interesting stuff going on in 2023 but no watershed moments in the areas I follow. (Please do let me know in the Comments should you disagree with this or any other part of this posting.) Nanotechnology seems less and less an emerging science/technology in itself and more like a foundational element of our science and technology sectors. On that note, you may find my upcoming (in 2024) post about a report concerning the economic impact of its National Nanotechnology Initiative (NNI) from 2002 to 2022 of interest.

Following on the commercialization theme, I have noticed an increase of interest in commercializing brain and brainlike engineering technologies, as well as, more discussion about ethics.

Colonizing the brain?

UNESCO held events such as, this noted in my July 17, 2023 posting, “Unveiling the Neurotechnology Landscape: Scientific Advancements, Innovations and Major Trends—a UNESCO report” and this noted in my July 7, 2023 posting “Global dialogue on the ethics of neurotechnology on July 13, 2023 led by UNESCO.” An August 21, 2023 posting, “Ethical nanobiotechnology” adds to the discussion.

Meanwhile, Australia has been producing some very interesting mind/robot research, my June 13, 2023 posting, “Mind-controlled robots based on graphene: an Australian research story.” I have more of this kind of research (mind control or mind reading) from Australia to be published in early 2024. The Australians are not alone, there’s also this April 12, 2023 posting, “Mind-reading prosthetic limbs” from Germany.

My May 12, 2023 posting, “Virtual panel discussion: Canadian Strategies for Responsible Neurotechnology Innovation on May 16, 2023” shows Canada is entering the discussion. Unfortunately, the Canadian Science Policy Centre (CSPC), which held the event, has not posted a video online even though they have a youtube channel featuring other of their events.

As for neurmorphic engineering, China has produced a roadmap for its research in this area as noted in my March 20, 2023 posting, “A nontraditional artificial synaptic device and roadmap for Chinese research into neuromorphic devices.”

Quantum anybody?

I haven’t singled it out in this end-of-year posting but there is a great deal of interest in quantum computer both here in Canada and elsewhere. There is a 2023 report from the Council of Canadian Academies on the topic of quantum computing in Canada, which I hope to comment on soon.

Final words

I have a shout out for the Canadian Science Policy Centre, which celebrated its 15th anniversary in 2023. Congratulations!

For everyone, I wish peace on earth and all the best for you and yours in 2024!

A potpourri of robot/AI stories: killers , kindergarten teachers, a Balenciaga-inspired AI fashion designer, a conversational android, and more

Following on my August 29, 2018 post (Sexbots, sexbot ethics, families, and marriage), I’m following up with a more general piece.

Robots, AI (artificial intelligence), and androids (humanoid robots), the terms can be confusing since there’s a tendency to use them interchangeably. Confession: I do it too, but, not this time. That said, I have multiple news bits.

Killer ‘bots and ethics

The U.S. military is already testing a Modular Advanced Armed Robotic System. Credit: Lance Cpl. Julien Rodarte, U.S. Marine Corps

That is a robot.

For the purposes of this posting, a robot is a piece of hardware which may or may not include an AI system and does not mimic a human or other biological organism such that you might, under circumstances, mistake the robot for a biological organism.

As for what precipitated this feature (in part), it seems there’s been a United Nations meeting in Geneva, Switzerland held from August 27 – 31, 2018 about war and the use of autonomous robots, i.e., robots equipped with AI systems and designed for independent action. BTW, it’s the not first meeting the UN has held on this topic.

Bonnie Docherty, lecturer on law and associate director of armed conflict and civilian protection, international human rights clinic, Harvard Law School, has written an August 21, 2018 essay on The Conversation (also on phys.org) describing the history and the current rules around the conduct of war, as well as, outlining the issues with the military use of autonomous robots (Note: Links have been removed),

When drafting a treaty on the laws of war at the end of the 19th century, diplomats could not foresee the future of weapons development. But they did adopt a legal and moral standard for judging new technology not covered by existing treaty language.

This standard, known as the Martens Clause, has survived generations of international humanitarian law and gained renewed relevance in a world where autonomous weapons are on the brink of making their own determinations about whom to shoot and when. The Martens Clause calls on countries not to use weapons that depart “from the principles of humanity and from the dictates of public conscience.”

I was the lead author of a new report by Human Rights Watch and the Harvard Law School International Human Rights Clinic that explains why fully autonomous weapons would run counter to the principles of humanity and the dictates of public conscience. We found that to comply with the Martens Clause, countries should adopt a treaty banning the development, production and use of these weapons.

Representatives of more than 70 nations will gather from August 27 to 31 [2018] at the United Nations in Geneva to debate how to address the problems with what they call lethal autonomous weapon systems. These countries, which are parties to the Convention on Conventional Weapons, have discussed the issue for five years. My co-authors and I believe it is time they took action and agreed to start negotiating a ban next year.

Docherty elaborates on her points (Note: A link has been removed),

The Martens Clause provides a baseline of protection for civilians and soldiers in the absence of specific treaty law. The clause also sets out a standard for evaluating new situations and technologies that were not previously envisioned.

Fully autonomous weapons, sometimes called “killer robots,” would select and engage targets without meaningful human control. They would be a dangerous step beyond current armed drones because there would be no human in the loop to determine when to fire and at what target. Although fully autonomous weapons do not yet exist, China, Israel, Russia, South Korea, the United Kingdom and the United States are all working to develop them. They argue that the technology would process information faster and keep soldiers off the battlefield.

The possibility that fully autonomous weapons could soon become a reality makes it imperative for those and other countries to apply the Martens Clause and assess whether the technology would offend basic humanity and the public conscience. Our analysis finds that fully autonomous weapons would fail the test on both counts.

I encourage you to read the essay in its entirety and for anyone who thinks the discussion about ethics and killer ‘bots is new or limited to military use, there’s my July 25, 2016 posting about police use of a robot in Dallas, Texas. (I imagine the discussion predates 2016 but that’s the earliest instance I have here.)

Teacher bots

Robots come in many forms and this one is on the humanoid end of the spectum,

Children watch a Keeko robot at the Yiswind Institute of Multicultural Education in Beijing, where the intelligent machines are telling stories and challenging kids with logic problems  [donwloaded from https://phys.org/news/2018-08-robot-teachers-invade-chinese-kindergartens.html]

Don’t those ‘eyes’ look almost heart-shaped? No wonder the kids love these robots, if an August  29, 2018 news item on phys.org can be believed,

The Chinese kindergarten children giggled as they worked to solve puzzles assigned by their new teaching assistant: a roundish, short educator with a screen for a face.

Just under 60 centimetres (two feet) high, the autonomous robot named Keeko has been a hit in several kindergartens, telling stories and challenging children with logic problems.

Round and white with a tubby body, the armless robot zips around on tiny wheels, its inbuilt cameras doubling up both as navigational sensors and a front-facing camera allowing users to record video journals.

In China, robots are being developed to deliver groceries, provide companionship to the elderly, dispense legal advice and now, as Keeko’s creators hope, join the ranks of educators.

At the Yiswind Institute of Multicultural Education on the outskirts of Beijing, the children have been tasked to help a prince find his way through a desert—by putting together square mats that represent a path taken by the robot—part storytelling and part problem-solving.

Each time they get an answer right, the device reacts with delight, its face flashing heart-shaped eyes.

“Education today is no longer a one-way street, where the teacher teaches and students just learn,” said Candy Xiong, a teacher trained in early childhood education who now works with Keeko Robot Xiamen Technology as a trainer.

“When children see Keeko with its round head and body, it looks adorable and children love it. So when they see Keeko, they almost instantly take to it,” she added.

Keeko robots have entered more than 600 kindergartens across the country with its makers hoping to expand into Greater China and Southeast Asia.

Beijing has invested money and manpower in developing artificial intelligence as part of its “Made in China 2025” plan, with a Chinese firm last year unveiling the country’s first human-like robot that can hold simple conversations and make facial expressions.

According to the International Federation of Robots, China has the world’s top industrial robot stock, with some 340,000 units in factories across the country engaged in manufacturing and the automotive industry.

Moving on from hardware/software to a software only story.

AI fashion designer better than Balenciaga?

Despite the title for Katharine Schwab’s August 22, 2018 article for Fast Company, I don’t think this AI designer is better than Balenciaga but from the pictures I’ve seen the designs are as good and it does present some intriguing possibilities courtesy of its neural network (Note: Links have been removed),

The AI, created by researcher Robbie Barat, has created an entire collection based on Balenciaga’s previous styles. There’s a fabulous pink and red gradient jumpsuit that wraps all the way around the model’s feet–like a onesie for fashionistas–paired with a dark slouchy coat. There’s a textural color-blocked dress, paired with aqua-green tights. And for menswear, there’s a multi-colored, shimmery button-up with skinny jeans and mismatched shoes. None of these looks would be out of place on the runway.

To create the styles, Barat collected images of Balenciaga’s designs via the designer’s lookbooks, ad campaigns, runway shows, and online catalog over the last two months, and then used them to train the pix2pix neural net. While some of the images closely resemble humans wearing fashionable clothes, many others are a bit off–some models are missing distinct limbs, and don’t get me started on how creepy [emphasis mine] their faces are. Even if the outfits aren’t quite ready to be fabricated, Barat thinks that designers could potentially use a tool like this to find inspiration. Because it’s not constrained by human taste, style, and history, the AI comes up with designs that may never occur to a person. “I love how the network doesn’t really understand or care about symmetry,” Barat writes on Twitter.

You can see the ‘creepy’ faces and some of the designs here,

Image: Robbie Barat

In contrast to the previous two stories, this all about algorithms, no machinery with independent movement (robot hardware) needed.

Conversational android: Erica

Hiroshi Ishiguro and his lifelike (definitely humanoid) robots have featured here many, many times before. The most recent posting is a March 27, 2017 posting about his and his android’s participation at the 2017 SXSW festival.

His latest work is featured in an August 21, 2018 news news item on ScienceDaily,

We’ve all tried talking with devices, and in some cases they talk back. But, it’s a far cry from having a conversation with a real person.

Now a research team from Kyoto University, Osaka University, and the Advanced Telecommunications Research Institute, or ATR, have significantly upgraded the interaction system for conversational android ERICA, giving her even greater dialog skills.

ERICA is an android created by Hiroshi Ishiguro of Osaka University and ATR, specifically designed for natural conversation through incorporation of human-like facial expressions and gestures. The research team demonstrated the updates during a symposium at the National Museum of Emerging Science in Tokyo.

Here’s the latest conversational android, Erica

Caption: The experimental set up when the subject (left) talks with ERICA (right) Credit: Kyoto University / Kawahara lab

An August 20, 2018 Kyoto University press release on EurekAlert, which originated the news item, offers more details,

When we talk to one another, it’s never a simple back and forward progression of information,” states Tatsuya Kawahara of Kyoto University’s Graduate School of Informatics, and an expert in speech and audio processing.

“Listening is active. We express agreement by nodding or saying ‘uh-huh’ to maintain the momentum of conversation. This is called ‘backchanneling’, and is something we wanted to implement with ERICA.”

The team also focused on developing a system for ‘attentive listening’. This is when a listener asks elaborating questions, or repeats the last word of the speaker’s sentence, allowing for more engaging dialogue.

Deploying a series of distance sensors, facial recognition cameras, and microphone arrays, the team began collecting data on parameters necessary for a fluid dialog between ERICA and a human subject.

“We looked at three qualities when studying backchanneling,” continues Kawahara. “These were: timing — when a response happens; lexical form — what is being said; and prosody, or how the response happens.”

Responses were generated through machine learning using a counseling dialogue corpus, resulting in dramatically improved dialog engagement. Testing in five-minute sessions with a human subject, ERICA demonstrated significantly more dynamic speaking skill, including the use of backchanneling, partial repeats, and statement assessments.

“Making a human-like conversational robot is a major challenge,” states Kawahara. “This project reveals how much complexity there is in listening, which we might consider mundane. We are getting closer to a day where a robot can pass a Total Turing Test.”

Erica seems to have been first introduced publicly in Spring 2017, from an April 2017 Erica: Man Made webpage on The Guardian website,

Erica is 23. She has a beautiful, neutral face and speaks with a synthesised voice. She has a degree of autonomy – but can’t move her hands yet. Hiroshi Ishiguro is her ‘father’ and the bad boy of Japanese robotics. Together they will redefine what it means to be human and reveal that the future is closer than we might think.

Hiroshi Ishiguro and his colleague Dylan Glas are interested in what makes a human. Erica is their latest creation – a semi-autonomous android, the product of the most funded scientific project in Japan. But these men regard themselves as artists more than scientists, and the Erica project – the result of a collaboration between Osaka and Kyoto universities and the Advanced Telecommunications Research Institute International – is a philosophical one as much as technological one.

Erica is interviewed about her hope and dreams – to be able to leave her room and to be able to move her arms and legs. She likes to chat with visitors and has one of the most advanced speech synthesis systems yet developed. Can she be regarded as being alive or as a comparable being to ourselves? Will she help us to understand ourselves and our interactions as humans better?

Erica and her creators are interviewed in the science fiction atmosphere of Ishiguro’s laboratory, and this film asks how we might form close relationships with robots in the future. Ishiguro thinks that for Japanese people especially, everything has a soul, whether human or not. If we don’t understand how human hearts, minds and personalities work, can we truly claim that humans have authenticity that machines don’t?

Ishiguro and Glas want to release Erica and her fellow robots into human society. Soon, Erica may be an essential part of our everyday life, as one of the new children of humanity.

Key credits

  • Director/Editor: Ilinca Calugareanu
  • Producer: Mara Adina
  • Executive producers for the Guardian: Charlie Phillips and Laurence Topham
  • This video is produced in collaboration with the Sundance Institute Short Documentary Fund supported by the John D and Catherine T MacArthur Foundation

You can also view the 14 min. film here.

Artworks generated by an AI system are to be sold at Christie’s auction house

KC Ifeanyi’s August 22, 2018 article for Fast Company may send a chill down some artists’ spines,

For the first time in its 252-year history, Christie’s will auction artwork generated by artificial intelligence.

Created by the French art collective Obvious, “Portrait of Edmond de Belamy” is part of a series of paintings of the fictional Belamy family that was created using a two-part algorithm. …

The portrait is estimated to sell anywhere between $7,000-$10,000, and Obvious says the proceeds will go toward furthering its algorithm.

… Famed collector Nicolas Laugero-Lasserre bought one of Obvious’s Belamy works in February, which could’ve been written off as a novel purchase where the story behind it is worth more than the piece itself. However, with validation from a storied auction house like Christie’s, AI art could shake the contemporary art scene.

“Edmond de Belamy” goes up for auction from October 23-25 [2018].

Jobs safe from automation? Are there any?

Michael Grothaus expresses more optimism about future job markets than I’m feeling in an August 30, 2018 article for Fast Company,

A 2017 McKinsey Global Institute study of 800 occupations across 46 countries found that by 2030, 800 million people will lose their jobs to automation. That’s one-fifth of the global workforce. A further one-third of the global workforce will need to retrain if they want to keep their current jobs as well. And looking at the effects of automation on American jobs alone, researchers from Oxford University found that “47 percent of U.S. workers have a high probability of seeing their jobs automated over the next 20 years.”

The good news is that while the above stats are rightly cause for concern, they also reveal that 53% of American jobs and four-fifths of global jobs are unlikely to be affected by advances in artificial intelligence and robotics. But just what are those fields? I spoke to three experts in artificial intelligence, robotics, and human productivity to get their automation-proof career advice.

Creatives

“Although I believe every single job can, and will, benefit from a level of AI or robotic influence, there are some roles that, in my view, will never be replaced by technology,” says Tom Pickersgill, …

Maintenance foreman

When running a production line, problems and bottlenecks are inevitable–and usually that’s a bad thing. But in this case, those unavoidable issues will save human jobs because their solutions will require human ingenuity, says Mark Williams, head of product at People First, …

Hairdressers

Mat Hunter, director of the Central Research Laboratory, a tech-focused co-working space and accelerator for tech startups, have seen startups trying to create all kinds of new technologies, which has given him insight into just what machines can and can’t pull off. It’s lead him to believe that jobs like the humble hairdresser are safer from automation than those of, says, accountancy.

Therapists and social workers

Another automation-proof career is likely to be one involved in helping people heal the mind, says Pickersgill. “People visit therapists because there is a need for emotional support and guidance. This can only be provided through real human interaction–by someone who can empathize and understand, and who can offer advice based on shared experiences, rather than just data-driven logic.”

Teachers

Teachers are so often the unsung heroes of our society. They are overworked and underpaid–yet charged with one of the most important tasks anyone can have: nurturing the growth of young people. The good news for teachers is that their jobs won’t be going anywhere.

Healthcare workers

Doctors and nurses will also likely never see their jobs taken by automation, says Williams. While automation will no doubt better enhance the treatments provided by doctors and nurses the fact of the matter is that robots aren’t going to outdo healthcare workers’ ability to connect with patients and make them feel understood the way a human can.

Caretakers

While humans might be fine with robots flipping their burgers and artificial intelligence managing their finances, being comfortable with a robot nannying your children or looking after your elderly mother is a much bigger ask. And that’s to say nothing of the fact that even today’s most advanced robots don’t have the physical dexterity to perform the movements and actions carers do every day.

Grothaus does offer a proviso in his conclusion: certain types of jobs are relatively safe until developers learn to replicate qualities such as empathy in robots/AI.

It’s very confusing

There’s so much news about robots, artificial intelligence, androids, and cyborgs that it’s hard to keep up with it let alone attempt to get a feeling for where all this might be headed. When you add the fact that the term robots/artificial inteligence are often used interchangeably and that the distinction between robots/androids/cyborgs is not always clear any attempts to peer into the future become even more challenging.

At this point I content myself with tracking the situation and finding definitions so I can better understand what I’m tracking. Carmen Wong’s August 23, 2018 posting on the Signals blog published by Canada’s Centre for Commercialization of Regenerative Medicine (CCRM) offers some useful definitions in the context of an article about the use of artificial intelligence in the life sciences, particularly in Canada (Note: Links have been removed),

Artificial intelligence (AI). Machine learning. To most people, these are just buzzwords and synonymous. Whether or not we fully understand what both are, they are slowly integrating into our everyday lives. Virtual assistants such as Siri? AI is at work. The personalized ads you see when you are browsing on the web or movie recommendations provided on Netflix? Thank AI for that too.

AI is defined as machines having intelligence that imitates human behaviour such as learning, planning and problem solving. A process used to achieve AI is called machine learning, where a computer uses lots of data to “train” or “teach” itself, without human intervention, to accomplish a pre-determined task. Essentially, the computer keeps on modifying its algorithm based on the information provided to get to the desired goal.

Another term you may have heard of is deep learning. Deep learning is a particular type of machine learning where algorithms are set up like the structure and function of human brains. It is similar to a network of brain cells interconnecting with each other.

Toronto has seen its fair share of media-worthy AI activity. The Government of Canada, Government of Ontario, industry and multiple universities came together in March 2018 to launch the Vector Institute, with the goal of using AI to promote economic growth and improve the lives of Canadians. In May, Samsung opened its AI Centre in the MaRS Discovery District, joining a network of Samsung centres located in California, United Kingdom and Russia.

There has been a boom in AI companies over the past few years, which span a variety of industries. This year’s ranking of the top 100 most promising private AI companies covers 25 fields with cybersecurity, enterprise and robotics being the hot focus areas.

Wong goes on to explore AI deployment in the life sciences and concludes that human scientists and doctors will still be needed although she does note this in closing (Note: A link has been removed),

More importantly, empathy and support from a fellow human being could never be fully replaced by a machine (could it?), but maybe this will change in the future. We will just have to wait and see.

Artificial empathy is the term used in Lisa Morgan’s April 25, 2018 article for Information Week which unfortunately does not include any links to actual projects or researchers working on artificial empathy. Instead, the article is focused on how business interests and marketers would like to see it employed. FWIW, I have found a few references: (1) Artificial empathy Wikipedia essay (look for the references at the end of the essay for more) and (2) this open access article: Towards Artificial Empathy; How Can Artificial Empathy Follow the Developmental Pathway of Natural Empathy? by Minoru Asada.

Please let me know in the comments if you should have an insights on the matter in the comments section of this blog.