Tag Archives: Will Oremus

Chip in brain lets quadriplegic (tetraplegic) move hands and fingers

An April 13, 2016 news item on ScienceDaily describes the latest brain implant,

Six years ago, he was paralyzed in a diving accident. Today, he participates in clinical sessions during which he can grasp and swipe a credit card or play a guitar video game with his own fingers and hand. These complex functional movements are driven by his own thoughts and a prototype medical system that are detailed in a study published online today in the journal Nature.

The device, called NeuroLife, was invented at Battelle, which teamed with physicians and neuroscientists from The Ohio State University Wexner Medical Center to develop the research approach and perform the clinical study. Ohio State doctors identified the study participant and implanted a tiny computer chip into his brain.

An April 13, 2016 Ohio State University news release on EurekAlert, which originated the news item, provides more details about the participant and the technology,

That pioneering participant, Ian Burkhart, is a 24-year-old quadriplegic from Dublin, Ohio, and the first person to use this technology. This electronic neural bypass for spinal cord injuries reconnects the brain directly to muscles, allowing voluntary and functional control of a paralyzed limb by using his thoughts. The device interprets thoughts and brain signals then bypasses his injured spinal cord and connects directly to a sleeve that stimulates the muscles that control his arm and hand.

“We’re showing for the first time that a quadriplegic patient is able to improve his level of motor function and hand movements,” said Dr. Ali Rezai, a co-author of the study and a neurosurgeon at Ohio State’s Wexner Medical Center.

Burkhart first demonstrated the neural bypass technology in June 2014, when he was able to open and close his hand simply by thinking about it. Now, he can perform more sophisticated movements with his hands and fingers such as picking up a spoon or picking up and holding a phone to his ear — things he couldn’t do before and which can significantly improve his quality of life.

“It’s amazing to see what he’s accomplished,” said Nick Annetta, electrical engineering lead for Battelle’s team on the project. “Ian can grasp a bottle, pour the contents of the bottle into a jar and put the bottle back down. Then he takes a stir bar, grips that and then stirs the contents of the jar that he just poured and puts it back down. He’s controlling it every step of the way.”

The neural bypass technology combines algorithms that learn and decode the user’s brain activity and a high-definition muscle stimulation sleeve that translates neural impulses from the brain and transmits new signals to the paralyzed limb.

The Battelle team has been working on this technology for more than a decade. To develop the algorithms, software and stimulation sleeve, Battelle scientists first recorded neural impulses from an electrode array implanted in a paralyzed person’s brain. They used that recorded data to illustrate the device’s effect on the patient and prove the concept.

Four years ago, former Battelle researcher Chad Bouton and his team began collaborating with Ohio State Neurological Institute researchers and clinicians Rezai and Dr. Jerry Mysiw to design the clinical trials and validate the feasibility of using the neural bypass technology in patients.

“In the 30 years I’ve been in this field, this is the first time we’ve been able to offer realistic hope to people who have very challenging lives,” said Mysiw, chair of the Department of Physical Medicine and Rehabilitation at Ohio State. “What we’re looking to do is help these people regain more control over their bodies.”

During a three-hour surgery in April 2014, Rezai implanted a computer chip smaller than a pea onto the motor cortex of Burkhart’s brain.

The Ohio State and Battelle teams worked together to figure out the correct sequence of electrodes to stimulate to allow Burkhart to move his fingers and hand functionally. For example, Burkhart uses different brain signals and muscles to rotate his hand, make a fist or pinch his fingers together to grasp an object. As part of the study, Burkhart worked for months using the electrode sleeve to stimulate his forearm to rebuild his atrophied muscles so they would be more responsive to the electric stimulation.

“During the last decade, we’ve learned how to decipher brain signals in patients who are completely paralyzed and now, for the first time, those thoughts are being turned into movement,” said study co-author Bouton, who directed Battelle’s team before he joined the New York-based Feinstein Institute for Medical Research. “Our findings show that signals recorded from within the brain can be re-routed around an injury to the spinal cord, allowing restoration of functional movement and even movement of individual fingers.”

Burkhart said it was an easy decision to participate in the FDA-approved clinical trial at Ohio State’s Wexner Medical Center because he wanted to try to help others with spinal cord injuries. “I just kind of think that it’s my obligation to society,” Burkhart said. “If someone else had an opportunity to do it in some other part of the world, I would hope that they would commit their time so that everyone can benefit from it in the future.”

Rezai and the team from Battelle agree that this technology holds the promise to help patients affected by various brain and spinal cord injuries such as strokes and traumatic brain injury to be more independent and functional.

“We’re hoping that this technology will evolve into a wireless system connecting brain signals and thoughts to the outside world to improve the function and quality of life for those with disabilities,” Rezai said. “One of our major goals is to make this readily available to be used by patients at home.”

Burkhart is the first of a potential five participants in a clinical study. Mysiw and Rezai have identified a second patient who is scheduled to start the study in the summer.

“Participating in this research has changed me in the sense that I have a lot more hope for the future now,” Burkhart said. “I always did have a certain level of hope, but now I know, first-hand, that there are going to be improvements in science and technology that will make my life better.”

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

Restoring cortical control of functional movement in a human with quadriplegia by Chad E. Bouton, Ammar Shaikhouni, Nicholas V. Annetta, Marcia A. Bockbrader, David A. Friedenberg, Dylan M. Nielson, Gaurav Sharma, Per B. Sederberg, Bradley C. Glenn, W. Jerry Mysiw, Austin G. Morgan, Milind Deogaonkar, & Ali R. Rezai. Nature (2016)  doi:10.1038/nature17435 Published online 13 April 2016

This paper is behind a paywall but there is an in depth April 13, 2016 article by Linda Geddes in Nature providing nuggets of new insight such as this,

Previous studies have suggested that after spinal-cord injuries, the brain undergoes ‘reorganization’ — a rewiring of its connections. But this new work suggests that the degree of reorganization occurring after such injuries may be less than previously assumed. “It gives us a lot of hope that there are perhaps not as many neural changes in the brain as we might have imagined [emphasis mine] after an injury like this, and we can bypass damaged areas of the spinal cord to regain movement,” says Bouton.

The Geddes article is open access.

Finally, there’s an April 13, 2016 article by Will Oremus for Slate.com, which notes that this story is not a fairy tale as there’s a possibility the chip will be removed in the near future as the US Food and Drug Administration’s approval of the device was conditional due to this,

Burkhart knows the device was never meant to last forever. The brain implant’s efficacy gradually degrades over time due to scarring in the brain tissue, and eventually that hardware degradation will start to undo the progress that Burkhart and the software have made together.

He told me he has accepted that his newfound mobility is temporary, and that the progress he has made is likely to benefit posterity more than it benefits him. “I now know that when I’m connected to the system I can do all these great things. It won’t be too much of a shock to me [when it’s over], because even now I can only use the system for a few hours a week when I’m down in the lab. But it will be something I’ll certainly miss.”

Prime Minister Trudeau, the quantum physicist

Prime Minister Justin Trudeau’s apparently extemporaneous response to a joking (non)question about quantum computing by a journalist during an April 15, 2016 press conference at the Perimeter Institute for Theoretical Physics in Waterloo, Ontario, Canada has created a buzz online, made international news, and caused Canadians to sit taller.

For anyone who missed the moment, here’s a video clip from the Canadian Broadcasting Corporation (CBC),

Aaron Hutchins in an April 15, 2016 article for Maclean’s magazine digs deeper to find out more about Trudeau and quantum physics (Note: A link has been removed),

Raymond Laflamme knows the drill when politicians visit the Perimeter Institute. A photo op here, a few handshakes there and a tour with “really basic, basic, basic facts” about the field of quantum mechanics.

But when the self-described “geek” Justin Trudeau showed up for a funding announcement on Friday [April 15, 2016], the co-founder and director of the Institute for Quantum Computing at the University of Waterloo wasn’t met with simple nods of the Prime Minister pretending to understand. Trudeau immediately started talking about things being waves and particles at the same time, like cats being dead and alive at the same time. It wasn’t just nonsense—Trudeau was referencing the famous thought experiment of the late legendary physicist Erwin Schrödinger.

“I don’t know where he learned all that stuff, but we were all surprised,” Laflamme says. Soon afterwards, as Trudeau met with one student talking about superconductivity, the Prime Minister asked her, “Why don’t we have high-temperature superconducting systems?” something Laflamme describes as the institute’s “Holy Grail” quest.

“I was flabbergasted,” Laflamme says. “I don’t know how he does in other subjects, but in quantum physics, he knows the basic pieces and the important questions.”

Strangely, Laflamme was not nearly as excited (tongue in cheek) when I demonstrated my understanding of quantum physics during our interview (see my May 11, 2015 posting; scroll down about 40% of the way to the Ramond Laflamme subhead).

As Jon Butterworth comments in his April 16, 2016 posting on the Guardian science blog, the response says something about our expectations regarding politicians,

This seems to have enhanced Trudeau’s reputation no end, and quite right too. But it is worth thinking a bit about why.

The explanation he gives is clear, brief, and understandable to a non-specialist. It is the kind of thing any sufficiently engaged politician could pick up from a decent briefing, given expert help. …

Butterworth also goes on to mention journalists’ expectations,

The reporter asked the question in a joking fashion, not unkindly as far as I can tell, but not expecting an answer either. If this had been an announcement about almost any other government investment, wouldn’t the reporter have expected a brief explanation of the basic ideas behind it? …

As for the announcement being made by Trudeau, there is this April 15, 2016 Perimeter Institute press release (Note: Links have been removed),

Prime Minister Justin Trudeau says the work being done at Perimeter and in Canada’s “Quantum Valley” [emphasis mine] is vital to the future of the country and the world.

Prime Minister Justin Trudeau became both teacher and student when he visited Perimeter Institute today to officially announce the federal government’s commitment to support fundamental scientific research at Perimeter.

Joined by Minister of Science Kirsty Duncan and Small Business and Tourism Minister Bardish Chagger, the self-described “geek prime minister” listened intensely as he received brief overviews of Perimeter research in areas spanning from quantum science to condensed matter physics and cosmology.

“You don’t have to be a geek like me to appreciate how important this work is,” he then told a packed audience of scientists, students, and community leaders in Perimeter’s atrium.

The Prime Minister was also welcomed by 200 teenagers attending the Institute’s annual Inspiring Future Women in Science conference, and via video greetings from cosmologist Stephen Hawking [he was Laflamme’s PhD supervisor], who is a Perimeter Distinguished Visiting Research Chair. The Prime Minister said he was “incredibly overwhelmed” by Hawking’s message.

“Canada is a wonderful, huge country, full of people with big hearts and forward-looking minds,” Hawking said in his message. “It’s an ideal place for an institute dedicated to the frontiers of physics. In supporting Perimeter, Canada sets an example for the world.”

The visit reiterated the Government of Canada’s pledge of $50 million over five years announced in last month’s [March 2016] budget [emphasis mine] to support Perimeter research, training, and outreach.

It was the Prime Minister’s second trip to the Region of Waterloo this year. In January [2016], he toured the region’s tech sector and universities, and praised the area’s innovation ecosystem.

This time, the focus was on the first link of the innovation chain: fundamental science that could unlock important discoveries, advance human understanding, and underpin the groundbreaking technologies of tomorrow.

As for the “quantum valley’ in Ontario, I think there might be some competition here in British Columbia with D-Wave Systems (first commercially available quantum computing, of a sort; my Dec. 16, 2015 post is the most recent one featuring the company) and the University of British Columbia’s Stewart Blusson Quantum Matter Institute.

Getting back to Trudeau, it’s exciting to have someone who seems so interested in at least some aspects of science that he can talk about it with a degree of understanding. I knew he had an interest in literature but there is also this (from his Wikipedia entry; Note: Links have been removed),

Trudeau has a bachelor of arts degree in literature from McGill University and a bachelor of education degree from the University of British Columbia…. After graduation, he stayed in Vancouver and he found substitute work at several local schools and permanent work as a French and math teacher at the private West Point Grey Academy … . From 2002 to 2004, he studied engineering at the École Polytechnique de Montréal, a part of the Université de Montréal.[67] He also started a master’s degree in environmental geography at McGill University, before suspending his program to seek public office.[68] [emphases mine]

Trudeau is not the only political leader to have a strong interest in science. In our neighbour to the south, there’s President Barack Obama who has done much to promote science since he was elected in 2008. David Bruggeman in an April 15, 2016  post (Obama hosts DNews segments for Science Channel week of April 11-15, 2016) and an April 17, 2016 post (Obama hosts White House Science Fair) describes two of Obama’s most recent efforts.

ETA April 19, 2016: I’ve found confirmation that this Q&A was somewhat staged as I hinted in the opening with “Prime Minister Justin Trudeau’s apparently extemporaneous response … .” Will Oremus’s April 19, 2016 article for Slate.com breaks the whole news cycle down and points out (Note: A link has been removed),

Over the weekend, even as latecomers continued to dine on the story’s rapidly decaying scraps, a somewhat different picture began to emerge. A Canadian blogger pointed out that Trudeau himself had suggested to reporters at the event that they lob him a question about quantum computing so that he could knock it out of the park with the newfound knowledge he had gleaned on his tour.

The Canadian blogger who tracked this down is J. J. McCullough (Jim McCullough) and you can read his Oct. 16, 2016 posting on the affair here. McCullough has a rather harsh view of the media response to Trudeau’s lecture. Oremus is a bit more measured,

… Monday brought the countertake parade—smaller and less pompous, if no less righteous—led by Gawker with the headline, “Justin Trudeau’s Quantum Computing Explanation Was Likely Staged for Publicity.”

But few of us in the media today are immune to the forces that incentivize timeliness and catchiness over subtlety, and even Gawker’s valuable corrective ended up meriting a corrective of its own. Author J.K. Trotter soon updated his post with comments from Trudeau’s press secretary, who maintained (rather convincingly, I think) that nothing in the episode was “staged”—at least, not in the sinister way that the word implies. Rather, Trudeau had joked that he was looking forward to someone asking him about quantum computing; a reporter at the press conference jokingly complied, without really expecting a response (he quickly moved on to his real question before Trudeau could answer); Trudeau responded anyway, because he really did want to show off his knowledge.

Trotter deserves credit, regardless, for following up and getting a fuller picture of what transpired. He did what those who initially jumped on the story did not, which was to contact the principals for context and comment.

But my point here is not to criticize any particular writer or publication. The too-tidy Trudeau narrative was not the deliberate work of any bad actor or fabricator. Rather, it was the inevitable product of today’s inexorable social-media machine, in which shareable content fuels the traffic-referral engines that pay online media’s bills.

I suggest reading both McCullough’s and Oremus’s posts in their entirety should you find debates about the role of media compelling.

Disability and technology

There’s a human enhancement or,more specifically, a ‘technology and disability’ event being held by Future Tense (a collaboration between Slate.com, New America, and Arizona State University) on March 4, 2015. Here’s more from the Feb. 20, 2015 Slate.com post,

Attention-grabbing advances in robotics and neurotechnology have caused many to rethink the concept of human disability. A paraplegic man in a robotic suit took the first kick at the 2014 World Cup, for instance, and the FDA has approved a bionic arm controlled with signals from the brain. It’s not hard to imagine that soon these advances may allow people to run, lift, and even think better than what is currently considered “normal”—challenging what it means to be human. But some in the disability community reject these technologies; for others, accessing them can be an overwhelmingly expensive and bureaucratic process. As these technological innovations look more and more like human engineering, will we need to reconsider what it means to be able and disabled?

We’ll discuss these questions and more at noon [EST] on Wednesday, March 4, at the New America office in Washington, D.C. The event is presented by Future Tense in collaboration with the award-winning documentary on disability and technology Fixed: The Science/Fiction of Human Enhancement [mentioned in an Aug. 3, 2010 posting]. You can find the event agenda and the trailer for Fixed below; to RSVP, click here. The venue is wheelchair accessible, and an American Sign Language interpreter will be present.

The Will Technology Put an End to Disability? event page includes an agenda,

Agenda:

12:00 pm Engineering Ability

Jennifer French
Executive Director, Neurotech Network

Larry Jasinksi
CEO, ReWalk Robotics
@ReWalk_Robotics

Will Oremus
Senior Technology Writer, Slate
@WillOremus

12:45 pm T​he Promise and Peril of Human Enhancement

​Gregor Wolbring
Associate Professor, University of Calgary
@Wolbring

Julia Bascom
Director of Programs, Autistic Self Advocacy Network
@autselfadvocacy

Teresa Blankmeyer Burke
Assistant Professor of Philosophy, Gallaudet University
@teresaburke

Moderator:
Lawrence Carter-Long
Public Affairs Specialist, National Council on Disability
@LCarterLong

Gregor Wolbring who’s scheduled for 1245 hours EST has been mentioned here more than once (most recently in a Jan. 10, 2014 posting titled, Chemistry of Cyborgs: review of the state of the art by German researchers, which includes further links. Gregor is also mentioned in the Aug. 3, 2010 posting about the movie ‘Fixed’. You can find out more about Wolbring and his work here.

Coincidentally, there’s a March 2, 2015 article titled: Deus Ex and Human Enhancement by Adam Koper for nouse.co.uk which conflates the notion of nanotechnology and human enhancement. It’s a well written and interesting article (there is a proviso) about a game, Deus Ex, which features nanotechnology=enabled human enhancement.  Despite Koper’s description not all human enhancement is nanotechnology-enabled and not all nanotechnology-enabled solutions are oriented to human enhancement. However, many human enhancement efforts are enabled by nanotechnology.

By the way, the game is published in Montréal (Québec, Canada) by Eidos (you will need your French language skills; I was not able to find an English language site).

The future of work during the age of robots and artificial intelligence

2014 was quite the year for discussions about robots/artificial intelligence (AI) taking over the world of work. There was my July 16, 2014 post titled, Writing and AI or is a robot writing this blog?, where I discussed the implications of algorithms which write news stories (business and sports, so far) in the wake of a deal that Associated Press signed with a company called Automated Insights. A few weeks later, the Pew Research Center released a report titled, AI, Robotics, and the Future of Jobs, which was widely covered. As well, sometime during the year, renowned physicist Stephen Hawking expressed serious concerns about artificial intelligence and our ability to control it.

It seems that 2015 is going to be another banner for this discussion. Before launching into the latest on this topic, here’s a sampling of the Pew Research and the response to it. From an Aug. 6, 2014 Pew summary about AI, Robotics, and the Future of Jobs by Aaron Smith and Janna Anderson,

The vast majority of respondents to the 2014 Future of the Internet canvassing anticipate that robotics and artificial intelligence will permeate wide segments of daily life by 2025, with huge implications for a range of industries such as health care, transport and logistics, customer service, and home maintenance. But even as they are largely consistent in their predictions for the evolution of technology itself, they are deeply divided on how advances in AI and robotics will impact the economic and employment picture over the next decade.

We call this a canvassing because it is not a representative, randomized survey. Its findings emerge from an “opt in” invitation to experts who have been identified by researching those who are widely quoted as technology builders and analysts and those who have made insightful predictions to our previous queries about the future of the Internet. …

I wouldn’t have expected Jeff Bercovici’s Aug. 6, 2014 article for Forbes to be quite so hesitant about the possibilities of our robotic and artificially intelligent future,

As part of a major ongoing project looking at the future of the internet, the Pew Research Internet Project canvassed some 1,896 technologists, futurists and other experts about how they see advances in robotics and artificial intelligence affecting the human workforce in 2025.

The results were not especially reassuring. Nearly half of the respondents (48%) predicted that robots and AI will displace more jobs than they create over the coming decade. While that left a slim majority believing the impact of technology on employment will be neutral or positive, that’s not necessarily grounds for comfort: Many experts told Pew they expect the jobs created by the rise of the machines will be lower paying and less secure than the ones displaced, widening the gap between rich and poor, while others said they simply don’t think the major effects of robots and AI, for better or worse, will be in evidence yet by 2025.

Chris Gayomali’s Aug. 6, 2014 article for Fast Company poses an interesting question about how this brave new future will be financed,

A new study by Pew Internet Research takes a hard look at how innovations in robotics and artificial intelligence will impact the future of work. To reach their conclusions, Pew researchers invited 12,000 experts (academics, researchers, technologists, and the like) to answer two basic questions:

Will networked, automated, artificial intelligence (AI) applications and robotic devices have displaced more jobs than they have created by 2025?
To what degree will AI and robotics be parts of the ordinary landscape of the general population by 2025?

Close to 1,900 experts responded. About half (48%) of the people queried envision a future in which machines have displaced both blue- and white-collar jobs. It won’t be so dissimilar from the fundamental shift we saw in manufacturing, in which fewer (human) bosses oversaw automated assembly lines.

Meanwhile, the other 52% of experts surveyed speculate while that many of the jobs will be “substantially taken over by robots,” humans won’t be displaced outright. Rather, many people will be funneled into new job categories that don’t quite exist yet. …

Some worry that over the next 10 years, we’ll see a large number of middle class jobs disappear, widening the economic gap between the rich and the poor. The shift could be dramatic. As artificial intelligence becomes less artificial, they argue, the worry is that jobs that earn a decent living wage (say, customer service representatives, for example) will no longer be available, putting lots and lots of people out of work, possibly without the requisite skill set to forge new careers for themselves.

How do we avoid this? One revealing thread suggested by experts argues that the responsibility will fall on businesses to protect their employees. “There is a relentless march on the part of commercial interests (businesses) to increase productivity so if the technical advances are reliable and have a positive ROI [return on investment],” writes survey respondent Glenn Edens, a director of research in networking, security, and distributed systems at PARC, which is owned by Xerox. “Ultimately we need a broad and large base of employed population, otherwise there will be no one to pay for all of this new world.” [emphasis mine]

Alex Hearn’s Aug. 6, 2014 article for the Guardian reviews the report and comments on the current educational system’s ability to prepare students for the future,

Almost all of the respondents are united on one thing: the displacement of work by robots and AI is going to continue, and accelerate, over the coming decade. Where they split is in the societal response to that displacement.

The optimists predict that the economic boom that would result from vastly reduced costs to businesses would lead to the creation of new jobs in huge numbers, and a newfound premium being placed on the value of work that requires “uniquely human capabilities”. …

But the pessimists worry that the benefits of the labor replacement will accrue to those already wealthy enough to own the automatons, be that in the form of patents for algorithmic workers or the physical form of robots.

The ranks of the unemployed could swell, as people are laid off from work they are qualified in without the ability to retrain for careers where their humanity is a positive. And since this will happen in every economic sector simultaneously, civil unrest could be the result.

One thing many experts agreed on was the need for education to prepare for a post-automation world. ““Only the best-educated humans will compete with machines,” said internet sociologist Howard Rheingold.

“And education systems in the US and much of the rest of the world are still sitting students in rows and columns, teaching them to keep quiet and memorise what is told them, preparing them for life in a 20th century factory.”

Then, Will Oremus’ Aug. 6, 2014 article for Slate suggests we are already experiencing displacement,

… the current jobless recovery, along with a longer-term trend toward income and wealth inequality, has some thinkers wondering whether the latest wave of automation is different from those that preceded it.

Massachusetts Institute of Technology researchers Andrew McAfee and Erik Brynjolfsson, among others, see a “great decoupling” of productivity from wages since about 2000 as technology outpaces human workers’ education and skills. Workers, in other words, are losing the race between education and technology. This may be exacerbating a longer-term trend in which capital has gained the upper hand on labor since the 1970s.

The results of the survey were fascinating. Almost exactly half of the respondents (48 percent) predicted that intelligent software will disrupt more jobs than it can replace. The other half predicted the opposite.

The lack of expert consensus on such a crucial and seemingly straightforward question is startling. It’s even more so given that history and the leading economic models point so clearly to one side of the question: the side that reckons society will adjust, new jobs will emerge, and technology will eventually leave the economy stronger.

More recently, Manish Singh has written about some of his concerns as a writer who could be displaced in a Jan. 31, 2015 (?) article for Beta News (Note: A link has been removed),

Robots are after my job. They’re after yours as well, but let us deal with my problem first. Associated Press, an American multinational nonprofit news agency, revealed on Friday [Jan. 30, 2015] that it published 3,000 articles in the last three months of 2014. The company could previously only publish 300 stories. It didn’t hire more journalists, neither did its existing headcount start writing more, but the actual reason behind this exponential growth is technology. All those stories were written by an algorithm.

The articles produced by the algorithm were accurate, and you won’t be able to separate them from stories written by humans. Good lord, all the stories were written in accordance with the AP Style Guide, something not all journalists follow (but arguably, should).

There has been a growth in the number of such software. Narrative Science, a Chicago-based company offers an automated narrative generator powered by artificial intelligence. The company’s co-founder and CTO, Kristian Hammond, said last year that he believes that by 2030, 90 percent of news could be written by computers. Forbes, a reputable news outlet, has used Narrative’s software. Some news outlets use it to write email newsletters and similar things.

Singh also sounds a note of concern for other jobs by including this video (approximately 16 mins.) in his piece,

This video (Humans Need Not Apply) provides an excellent overview of the situation although it seems C. G. P. Grey, the person who produced and posted the video on YouTube, holds a more pessimistic view of the future than some other futurists.  C. G. P. Grey has a website here and is profiled here on Wikipedia.

One final bit, there’s a robot art critic which some are suggesting is superior to human art critics in Thomas Gorton’s Jan. 16, 2015 (?) article ‘This robot reviews art better than most critics‘ for Dazed Digital (Note: Links have been removed),

… the Novice Art Blogger, a Tumblr page set up by Matthew Plummer Fernandez. The British-Colombian artist programmed a bot with deep learning algorithms to analyse art; so instead of an overarticulate critic rambling about praxis, you get a review that gets down to the nitty-gritty about what exactly you see in front of you.

The results are charmingly honest: think a round robin of Google Translate text uninhibited by PR fluff, personal favouritism or the whims of a bad mood. We asked Novice Art Blogger to review our most recent Winter 2014 cover with Kendall Jenner. …

Beyond Kendall Jenner, it’s worth reading Gorton’s article for the interview with Plummer Fernandez.

Brain-to-brain communication, organic computers, and BAM (brain activity map), the connectome

Miguel Nicolelis, a professor at Duke University, has been making international headlines lately with two brain projects. The first one about implanting a brain chip that allows rats to perceive infrared light was mentioned in my Feb. 15, 2013 posting. The latest project is a brain-to-brain (rats) communication project as per a Feb. 28, 2013 news release on *EurekAlert,

Researchers have electronically linked the brains of pairs of rats for the first time, enabling them to communicate directly to solve simple behavioral puzzles. A further test of this work successfully linked the brains of two animals thousands of miles apart—one in Durham, N.C., and one in Natal, Brazil.

The results of these projects suggest the future potential for linking multiple brains to form what the research team is calling an “organic computer,” which could allow sharing of motor and sensory information among groups of animals. The study was published Feb. 28, 2013, in the journal Scientific Reports.

“Our previous studies with brain-machine interfaces had convinced us that the rat brain was much more plastic than we had previously thought,” said Miguel Nicolelis, M.D., PhD, lead author of the publication and professor of neurobiology at Duke University School of Medicine. “In those experiments, the rat brain was able to adapt easily to accept input from devices outside the body and even learn how to process invisible infrared light generated by an artificial sensor. So, the question we asked was, ‘if the brain could assimilate signals from artificial sensors, could it also assimilate information input from sensors from a different body?'”

Ben Schiller in a Mar. 1, 2013 article for Fast Company describes both the latest experiment and the work leading up to it,

First, two rats were trained to press a lever when a light went on in their cage. Press the right lever, and they would get a reward–a sip of water. The animals were then split in two: one cage had a lever with a light, while another had a lever without a light. When the first rat pressed the lever, the researchers sent electrical activity from its brain to the second rat. It pressed the right lever 70% of the time (more than half).

In another experiment, the rats seemed to collaborate. When the second rat didn’t push the right lever, the first rat was denied a drink. That seemed to encourage the first to improve its signals, raising the second rat’s lever-pushing success rate.

Finally, to show that brain-communication would work at a distance, the researchers put one rat in an cage in North Carolina, and another in Natal, Brazil. Despite noise on the Internet connection, the brain-link worked just as well–the rate at which the second rat pushed the lever was similar to the experiment conducted solely in the U.S.

The Duke University Feb. 28, 2013 news release, the origin for the news release on EurekAlert, provides more specific details about the experiments and the rats’ training,

To test this hypothesis, the researchers first trained pairs of rats to solve a simple problem: to press the correct lever when an indicator light above the lever switched on, which rewarded the rats with a sip of water. They next connected the two animals’ brains via arrays of microelectrodes inserted into the area of the cortex that processes motor information.

One of the two rodents was designated as the “encoder” animal. This animal received a visual cue that showed it which lever to press in exchange for a water reward. Once this “encoder” rat pressed the right lever, a sample of its brain activity that coded its behavioral decision was translated into a pattern of electrical stimulation that was delivered directly into the brain of the second rat, known as the “decoder” animal.

The decoder rat had the same types of levers in its chamber, but it did not receive any visual cue indicating which lever it should press to obtain a reward. Therefore, to press the correct lever and receive the reward it craved, the decoder rat would have to rely on the cue transmitted from the encoder via the brain-to-brain interface.

The researchers then conducted trials to determine how well the decoder animal could decipher the brain input from the encoder rat to choose the correct lever. The decoder rat ultimately achieved a maximum success rate of about 70 percent, only slightly below the possible maximum success rate of 78 percent that the researchers had theorized was achievable based on success rates of sending signals directly to the decoder rat’s brain.

Importantly, the communication provided by this brain-to-brain interface was two-way. For instance, the encoder rat did not receive a full reward if the decoder rat made a wrong choice. The result of this peculiar contingency, said Nicolelis, led to the establishment of a “behavioral collaboration” between the pair of rats.

“We saw that when the decoder rat committed an error, the encoder basically changed both its brain function and behavior to make it easier for its partner to get it right,” Nicolelis said. “The encoder improved the signal-to-noise ratio of its brain activity that represented the decision, so the signal became cleaner and easier to detect. And it made a quicker, cleaner decision to choose the correct lever to press. Invariably, when the encoder made those adaptations, the decoder got the right decision more often, so they both got a better reward.”

In a second set of experiments, the researchers trained pairs of rats to distinguish between a narrow or wide opening using their whiskers. If the opening was narrow, they were taught to nose-poke a water port on the left side of the chamber to receive a reward; for a wide opening, they had to poke a port on the right side.

The researchers then divided the rats into encoders and decoders. The decoders were trained to associate stimulation pulses with the left reward poke as the correct choice, and an absence of pulses with the right reward poke as correct. During trials in which the encoder detected the opening width and transmitted the choice to the decoder, the decoder had a success rate of about 65 percent, significantly above chance.

To test the transmission limits of the brain-to-brain communication, the researchers placed an encoder rat in Brazil, at the Edmond and Lily Safra International Institute of Neuroscience of Natal (ELS-IINN), and transmitted its brain signals over the Internet to a decoder rat in Durham, N.C. They found that the two rats could still work together on the tactile discrimination task.

“So, even though the animals were on different continents, with the resulting noisy transmission and signal delays, they could still communicate,” said Miguel Pais-Vieira, PhD, a postdoctoral fellow and first author of the study. “This tells us that it could be possible to create a workable, network of animal brains distributed in many different locations.”

Will Oremus in his Feb. 28, 2013 article for Slate seems a little less buoyant about the implications of this work,

Nicolelis believes this opens the possibility of building an “organic computer” that links the brains of multiple animals into a single central nervous system, which he calls a “brain-net.” Are you a little creeped out yet? In a statement, Nicolelis adds:

We cannot even predict what kinds of emergent properties would appear when animals begin interacting as part of a brain-net. In theory, you could imagine that a combination of brains could provide solutions that individual brains cannot achieve by themselves.

That sounds far-fetched. But Nicolelis’ lab is developing quite the track record of “taking science fiction and turning it into science,” says Ron Frostig, a neurobiologist at UC-Irvine who was not involved in the rat study. “He’s the most imaginative neuroscientist right now.” (Frostig made it clear he meant this as a complement, though skeptics might interpret the word less charitably.)

The most extensive coverage I’ve given Nicolelis and his work (including the Walk Again project) was in a March 16, 2012 post titled, Monkeys, mind control, robots, prosthetics, and the 2014 World Cup (soccer/football), although there are other mentions including in this Oct. 6, 2011 posting titled, Advertising for the 21st Century: B-Reel, ‘storytelling’, and mind control.  By the way, Nicolelis hopes to have a paraplegic individual (using technology Nicolelis is developing for the Walk Again project) kick the opening soccer/football to the 2014 World Cup games in Brazil.

While there’s much excitement about Nicolelis and his work, there are other ‘brain’ projects being developed in the US including the Brain Activity Map (BAM), which James Lewis notes in his Mar. 1, 2013 posting on the Foresight Institute blog,

A proposal alluded to by President Obama in his State of the Union address [Feb. 2013] to construct a dynamic “functional connectome” Brain Activity Map (BAM) would leverage current progress in neuroscience, synthetic biology, and nanotechnology to develop a map of each firing of every neuron in the human brain—a hundred billion neurons sampled on millisecond time scales. Although not the intended goal of this effort, a project on this scale, if it is funded, should also indirectly advance efforts to develop artificial intelligence and atomically precise manufacturing.

As Lewis notes in his posting, there’s an excellent description of BAM and other brain projects, as well as a discussion about how these ideas are linked (not necessarily by individuals but by the overall direction of work being done in many labs and in many countries across the globe) in Robert Blum’s Feb. (??), 2013 posting titled, BAM: Brain Activity Map Every Spike from Every Neuron, on his eponymous blog. Blum also offers an extensive set of links to the reports and stories about BAM. From Blum’s posting,

The essence of the BAM proposal is to create the technology over the coming decade
to be able to record every spike from every neuron in the brain of a behaving organism.
While this notion seems insanely ambitious, coming from a group of top investigators,
the paper deserves scrutiny. At minimum it shows what might be achieved in the future
by the combination of nanotechnology and neuroscience.

In 2013, as I write this, two European Flagship projects have just received funding for
one billion euro each (1.3 billion dollars each). The Human Brain Project is
an outgrowth of the Blue Brain Project, directed by Prof. Henry Markram
in Lausanne, which seeks to create a detailed simulation of the human brain.
The Graphene Flagship, based in Sweden, will explore uses of graphene for,
among others, creation of nanotech-based supercomputers. The potential synergy
between these projects is a source of great optimism.

The goal of the BAM Project is to elaborate the functional connectome
of a live organism: that is, not only the static (axo-dendritic) connections
but how they function in real-time as thinking and action unfold.

The European Flagship Human Brain Project will create the computational
capability to simulate large, realistic neural networks. But to compare the model
with reality, a real-time, functional, brain-wide connectome must also be created.
Nanotech and neuroscience are mature enough to justify funding this proposal.

I highly recommend reading Blum’s technical description of neural spikes as understanding that concept or any other in his post doesn’t require an advanced degree. Note: Blum holds a number of degrees and diplomas including an MD (neuroscience) from the University of California at San Francisco and a PhD in computer science and biostatistics from California’s Stanford University.

The Human Brain Project has been mentioned here previously. The  most recent mention is in a Jan. 28, 2013 posting about its newly gained status as one of two European Flagship initiatives (the other is the Graphene initiative) each meriting one billion euros of research funding over 10 years. Today, however, is the first time I’ve encountered the BAM project and I’m fascinated. Luckily, John Markoff’s Feb. 17, 2013 article for The New York Times provides some insight into this US initiative (Note: I have removed some links),

The Obama administration is planning a decade-long scientific effort to examine the workings of the human brain and build a comprehensive map of its activity, seeking to do for the brain what the Human Genome Project did for genetics.

The project, which the administration has been looking to unveil as early as March, will include federal agencies, private foundations and teams of neuroscientists and nanoscientists in a concerted effort to advance the knowledge of the brain’s billions of neurons and gain greater insights into perception, actions and, ultimately, consciousness.

Moreover, the project holds the potential of paving the way for advances in artificial intelligence.

What I find particularly interesting is the reference back to the human genome project, which may explain why BAM is also referred to as a ‘connectome’.

ETA Mar.6.13: I have found a Human Connectome Project Mar. 6, 2013 news release on EurekAlert, which leaves me confused. This does not seem to be related to BAM, although the articles about BAM did reference a ‘connectome’. At this point, I’m guessing that BAM and the ‘Human Connectome Project’ are two related but different projects and the reference to a ‘connectome’ in the BAM material is meant generically.  I previously mentioned the Human Connectome Project panel discussion held at the AAAS (American Association for the Advancement of Science) 2013 meeting in my Feb. 7, 2013 posting.

* Corrected EurkAlert to EurekAlert on June 14, 2013.