I didn’t really realize that at the time when I was growing up. Is there anything in science that’s too difficult to look at? I think it’s going to be where a lot of the big breakthroughs come from. But I think, for me, it just got me very used to settling in with new groups of people, making new friends, and getting on with things. Is there anything in this amazing power that is being unleashed by AI that you’re a little bit worried about? I learned when I was four years old. You could maybe solve fusion. I’m sure that study’s been done by Harvard Business School or something. It worked brilliantly, the scientific method, and that is what has allowed us to have the Enlightenment and modern civilization. Demis Hassabis was born in London, England. Can you walk us through an example? I doubt it because I was having this debate, actually, with somebody — a famous writer — and we were talking about this exact topic. And I realized that they actually hadn’t got that far yet. I think he and my mom instilled in us that you could take whatever path you wanted in life and just follow your passions. Demis Hassabis:  I’m pretty obsessive about being efficient because I think time is so short, and life is so short, and there are so many interesting and amazing things to do and experience. No. So these systems can find patterns that are there in the data that we, just as human scientists or human experts or human medical practitioners, wouldn’t have the bandwidth to do. There are so many areas of science where — I mean science today is all about creating huge amounts of data from the experiments and then trying to make sense of that data. How do you try to be efficient? And there’s theories about it, but we don’t really know. And once you’ve heard it a few times, it’s almost in the background, and I think it’s just getting your brain into some kind of rhythm, which I find better for focusing. Some people already use machine learning to discover new planets from data they have from their telescopes and find even smaller planets — exoplanets — that they couldn’t see or figure out from using their own maths. How can a machine help us with drug discovery? I just thought everybody was like this. So we used to move house sort of every year, downsizing, upsizing, and just depending on the housing market, and that — I think he made a bit of money from that, and that was enough to keep us going. What are you passionate about? There’s always been an evolution where new technologies come in, so that makes some jobs more efficient. The technology is neutral in and of itself. I’ve been told often that I saw my dad and my uncle play a game of chess, and they were just normal amateur players. And in a lot of subject areas, you just don’t have that much data. My view is that a great novel is also partly because you know the person who has written it was human, and they went through some things, and you can connect to the human condition that they’re describing. But opting out of some of these cookies may have an effect on your browsing experience. I guess one of the really formative ones was when I first got my first computer. And you would need to test that — each one — laboriously. This category only includes cookies that ensures basic functionalities and security features of the website. In the London Mind Sports Olympiad, he emerged as the winner of the Pentamind World Championship in five consecutive years, from 1998 to 2003. And this is all about a physicist struggling to find a final theory of everything, like how everything works, and that’s what string theory’s about and so on. So maybe it would be good if we can relieve people from that drudgery and yet still make sure that they share in the productivity gains and the prosperity that that new productivity will create. I was going to school. We just have to make sure that we build AI in a safe way, in a controllable way, and I see that as like a tool. It was a ZX Spectrum. Demis was four years old when he saw his father and an uncle playing chess and asked them to teach him the game. 13. Demis Hassabis was born in London, England. ... 10 Things You Didn’t Know about Demis Hassabis. Demis Hassabis: There are so many ways. Demis started off with Hampstead Junior Chess Club. Demis Hassabis:  The obvious thing that’s already happening today has to do with radiography. (Originally his surname was spelt Hassapis) “Demis Hassabis was born in London, England. And then the second question is making sure you deploy it for the good of the world rather than the bad. Here, Q is the mean action value (average reward), cpuct is a constant determining the level of exploration (set as 1), P(s=state,a=action) is the prior probability of choosing action a given by the policy output of the neural net, N(s,a) is the number of times the branch corresponding to action a has been visited.The N … I think, again there, we’re on the cusp of being able to use things like machine learning to discover new types of drugs. The multi-talented Demis Hassabis is a widely-cited neuroscientist, pioneering artificial intelligence researcher, award-winning game designer, successful entrepreneur, and five-time World Games Champion. She digs into his former life as a chess player, games designer and neuroscientist and explores how his love of chess helped him to get start-up funding, what drives him and his … I make this joke sometimes that, I think, is semi-serious. Maybe there’s a better use of that time and energy that would be better for the world.”  So I made this decision, actually, at that moment, that I would move away from chess and start exploring other areas and passions of mine and use those meta-skills as my foundations for getting to these other things. And then I dream about how we could deploy these things for the good of the world, and solve things like science, and which ordering of challenges should be tackled first. So that shows to me that a lot of people are spending many, many hours doing things they are not passionate about and not interested in and possibly quite mundane. Thorold Barker Editor, Europe, Middle East and Africa The Wall Street Journal . He is of both Greek and Chinese ancestry; his father came from Cyprus, his mother from Singapore. So when I’m focusing, I’ll listen to music, different music depending on what mood I’m trying to create. You’ve had such an extraordinary career. That’s the normal route for that. Demis Hassabis: What happens is, you know, if you think about — it’s a massive combinatorial problem. And then we’ll be better able to answer the questions about what the purpose of the universe was, and was it designed, and how did it come about, much better. Former child chess prodigy, Go player, and neuroscientist Demis Hassabis co-founded DeepMind Technologies in 2010 in London along with Mustafa Suleyman and Shane Legg. They can find the most valuable things that make the most impact and make a difference in those areas if they have that kind of generalized training, rather than subject-specific training, which has been the sort of history of schooling in the last century or so. What It Takes is an audio podcast produced by the American Academy of Achievement featuring intimate, revealing conversations with influential leaders in the diverse fields of endeavor: public service, science and exploration, sports, technology, business, arts and humanities, and justice. Demis Hassabis: No. He is of both Greek and Chinese ancestry; his father came from Cyprus, his mother from Singapore. The Industrial Revolution did that. Apparently, I saw them playing and I asked to play. And the rest of the time, I was studying chess. Demis Hassabis:  I had a bit of an epiphany around that age because I was playing, you know —. And just going back to the jobs questions, there are jobs that exist today that you couldn’t have imagined twenty years ago, being a YouTube content creator or certain types of game designers, other things like that. Although he enjoyed the intellectual stimulation of chess competition, he longed to apply his skills to a larger area and decided to pursue the study of artificial intelligence (AI). It’s called Othello in the UK, but it’s called Reversi, I think, in the U.S.  And, you know, it played it reasonably well, and it could beat my kid brother. Originating in London, we now also have offices in Singapore, Bangalore, Paris, Berlin and Toronto, and over 2000 extraordinary people have gone through our programme globally. Hassabis had demonstrated the neurological connection between the functions of imagination and episodic memory — both require the ability to construct a scene mentally. There’s also all the caregiving jobs. $19 0-1. So that’s got to be useful for all sorts of areas of science. Demis was four years old when he saw his father and an uncle playing chess and asked them to teach him the game. While running Elixir, Hassabis continued to participate in international games competition. Do you have any early answers to what we’re doing here? [ECO "B22"] 1. Most of our advisers are founders themselves, with an impressive set of companies and exits under their belts. They still need vast amounts of data. It has to be just instrumental. Is there an AI arms race going on? That would have been unsettling for some kids. Actually, one question I would always ask is that, if you were to win the lottery tomorrow, how many people would actually go back to their jobs? Demis Hassabis:  We have over 400 Ph.D.’s just on these two floors. So it’s subject independent, but it’s just the ability to learn, and that’s something that isn’t really taught at schools, are these metacognitive skills that will be useful no matter which way the world goes. In physics, for example, you know, we don’t know what dark matter is and dark energy now. He led a series of successful technology startups before returning to academia to explore the application of neuroscience to artificial intelligence. This website uses cookies to improve your experience while you navigate through the website. Demis Hassabis: Yeah. -197,-244]} 1. e4 c5 2. c3 d5 3. exd5 Qxd5 4. d4 Nc6 5. Initially, it was games. I think, in that type of environment, you want to be as adaptable as possible. So he was always doing his own things. Having proven himself in world games competition and the computer games industry, Hassabis decided to study the working of the human brain to gain further insight into the possibilities of artificial intelligence. Is that the key thing? The thing we have here is we have a lot of people who have hidden talents in many domains. What’s the universe about? (Courtesy of Google) These are all the things that you are never really taught at school and actually are the most important things — are how to get the best out of yourself. His favorite was Bob Dylan, so he wanted to sort of go into singing and songwriting. I think this is also just to do with technology in general. I don’t know why that is because it’s quite different. You could analyze satellite imagery in real time so that you could see if icebergs were breaking up, and you could see if deforestation was happening where it wasn’t supposed to be happening. And I hope to use AI to help advance both those two fields. So specifying the goal is incredibly important. How can you deploy AI to help us manage climate change? And I want to, you know — it’s the deeper scientific question. I think, in my career, I’ve been lucky to have worked with many, many brilliant, brilliant people and, of course, including at DeepMind. Google reportedly paid $650 million for the London-based artificial intelligence firm founded by neuroscientist Demis Hassabis, Shane Legg and Mustafa Suleyman. If further trials are successful, DeepMind will make the technology available for free for the first five years. It’s when I read books or research papers, or write research papers, or come up with ideas about algorithms. The company’s progress in machine learning has married the processes of deep learning and reinforcement learning to create the new field of “deep reinforcement learning.” These processes hold enormous promise for almost every field of scientific study, from medicine to astrophysics. Hassabis was born to a father from Greece and Cyprus and a mother of Chinese Singapore. So I don’t sleep very much. Demis Hassabis is a celebrated British Neuroscientist and AI Expert who has several highly cited papers already. You sort of go deeper and then there’s more things you don’t know. You have to crystallize the protein, and then you can investigate its 3D structure, but it takes years for each protein and there’s millions of proteins. It’s probably connected to my obsession with efficiency, where a company is really — obviously — they’re made of groups of individuals. Also, they need a lot of data — or simulation — to get enough simulated data to learn from. Singapore’s 4-month-old diversity hiring startup bags $200k in pre-seed round; DeepMind’s Demis Hassabis used chess to get Peter Thiel’s attention; VC investors are wild for Europe’s e-scooter rental startups; Japanese VC firm MedVenture Partners raises $95m in final close of second fund And then he eventually became a teacher. The following year, it beat a former world champion, 4 -1. A lot of your work is about saving time and being efficient. In Britain’s 2018 New Year’s Honours, Demis Hassabis was named a Commander of the Order of the British Empire, and in May 2018, he was elected a member of the Royal Society, the world’s oldest scientific association. So it wouldn’t be useful for other things you might want to do. Having come to that realization, what did you dedicate your life to? But they figure that part out themselves. So, suddenly, you can outsource problems to this computer, and it can solve certain types of things for you. There are examples in games where their goal is to win the game, and they figure out what are the different ways that are helpful towards winning the game. Then it’s AI and neuroscience. Bd6 17. He took to it quickly and was soon beating both of them. I think there’s always more questions. That’s how Turing was able to come up with that idea. What the kinds of systems we’re building — like AlphaGo and AlphaZero, our new systems — is you can think of them as optimization programs. That’s the reason why, I think, we bother to say, for some stories, “This is based on a true story.”  Why would we say that unless, for some reason, that makes it more emotive, that we know somebody else has gone through that — actually gone through that — in real life? Demis Hassabis: Chess is something, like, I’ve always known how to do. I think that, on the research front, the researchers know each other pretty well and go to the same conferences, and there’s a spirit of information. DeepMind doesn't say how many people it employs, but its deepening costs appear to come after a period of recruitment. Demis Hassabis Co-Founder and CEO DeepMind. They went on to be, I guess, designers and fashion designers or something. Demis Hassabis is a British artificial intelligence investigator, neuroscientist, video game designer, entrepreneur and internationally recognized gambler. And then, I think, probably what’s happening — in neuroscience, I think there’s been some studies about this — is it gets you into a kind of alpha state because this type of modern music is quite repetitive. At an AI conference held in New York recently, Hassabis said similar technology is mirrored in the artificial intelligence built by DeepMind that can learn to play Atari video games. If you can build a machine that can literally read every book in the world, does it still matter for a human being to be well read? Should we adjust what we teach students in school and universities because of the coming changes? But I just felt — although I loved chess, and I still love chess now — I felt it was too narrow a thing to dedicate your entire life to. And so how you organize them and what kind of culture you have will determine how much output that organization could produce. So it’s funny, they can do translation, but they don’t understand language. If all these jobs are mechanized, will there be enough jobs left that people can actually earn a living? Then in fairness, even most strong chess players aren’t as bright as Demis.”, Demis was elected a Fellow of the Royal Society in 2018, Your email address will not be published. So we’re already collaborating with many hospitals in the UK about adding in machine learning and AI tools to help with those pattern recognitions, if you like, those assessments about what’s happening in those scans. So what I would encourage schools to teach is not specifically so much the rote learning or the specific subject or anything but actually the ability to learn, if that makes sense. Is there a particular talent or characteristic that you think accounts for your success? The following year, he founded his own company, Elixir Studios. For example, not use them for war. Where do you fall on that question? I think that’s important for a novel to be great. Demis Hassabis: I think chess — actually, a number of things that I learned when I was young — it wasn’t so much the chess itself; it was the skills that you were training while you were playing chess. Necessary cookies are absolutely essential for the website to function properly. I think there needs to be a better understanding, probably, in government of what AI is. Could you tell us a little more about that? Identifying the goal is one of the very key things, certainly in the way we build our AI systems, where it’s called “reinforcement learning,” where they learn incrementally to progress towards their goal. But they didn’t really have proper set jobs, especially my father. But really, the thing that I’m most passionate about is understanding the world. Given his first computer at age eight, he programmed it to play the board game Othello. Demis Hassabis: It would probably be some kind of — I think it’s called “liquid drum and bass,” actually — it’s actually a subgenre of drum and bass. I think it’s the biggest collection anywhere in the world of brainpower, on this topic, that’s ever been collected. Danny Gormally wrote (in March 2014) this : “Demis Hassapis is a former chess prodigy who recently sold his company to Google for £400 million. And I think that will happen again, enabled by all the new technologies, of which AI is one. [Source "ChessBase"] I like, actually, everything from classical to “drum and bass.”  It just depends on what I’m trying to do. Really exciting things have happened with machines being able to translate the spoken word. So I think that’s going to result in much more efficient diagnosis and much more efficient treatment. So it was pretty full on. In 2003 and in 2004, Hassabis won the championship in Decamentathlon. Demis Hassabis: This goes back to the jobs question. Do you start with the big questions? They’re just doing statistical correlations between the two languages. ”. Do you have any suggestions for people who want to accelerate their learning process? We’re looking at quantum chemistry. We know protein folding is key for Alzheimer’s research. Demis was SCCU Under-18 champion in 1989 and was presented with the “old Trophy” according to the SCCU report. In the 2020 Critical Assessment of Structure Prediction (CASP) competition, AlphaFold bested all comers in predicting the structure of 100 proteins, based on the sequence of their component amino acids. Demis Hassabis:  I wouldn’t say so. He additionally stated the corporate was exploring methods of sharing the expertise itself with different … I think we’re almost there already with the translation systems that we have. Is there anything a robot is not going to be able to do? All of the history of science has been like that from nuclear to biology. What makes you learn best? Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are as essential for the working of basic functionalities of the website. So I can imagine, one day, maybe nurses will be paid more than doctors, and maybe that’s a good thing. I’m interested in, you know — I’ve given a talk at CERN (European Center for Nuclear Research), and they now use machine learning to try and detect new particles. I think it’s going to be the same. But the actual one that I have a passion for, which is sort of tangential to those things, is organizational design. He ran a toy store at one point. Demis was born and raised in North London, in the family of a Greek Cypriot and Chinese mother from Singapore. In 2015, the Financial Times listed Demis Hassabis as one of the “Top 50 Entrepreneurs in Europe” and the following year as the “Digital Entrepreneur of the Year.”  Science magazine named AlphaGo one of the “Top 10 Scientific Breakthroughs of 2016” and TIME magazine listed Hassabis as one of the World’s 100 Most Influential People in 2017. I think that’s led to DeepMind having quite a unique culture. So this is nothing new. You and I are lucky. So we moved — I must have moved like ten times before I was around twelve years old. Nc3 Qa5 9. h3 Bh5 10. d5 exd5 11. They extend the human capability, but the human at the heart of it still has to be educated and soulful and is still providing the kind of emotional impetus to these tools. Whereas, if I’m thinking or reading, maybe it will be classical, something more like Vivaldi or Mozart, something to get you in the right mood. He is of both Greek and Chinese ancestry; his father came from Cyprus, his mother from Singapore. Time: 6:30 PM To 7:30 PM. Another way that it could help with climate is you could do better modeling of the climate so predictions could be more accurate about what’s happening. 2. {[%evp 0,43,27,27,46,0,15,-20,-15,-15,-6,-8,10,10,40,32,25,44,35,23,66,22,15, I think if we could do science better and we had more intellectual horsepower behind it, we could make better, faster solutions. But will they be a great novel? Because I think the world’s becoming unpredictable, and we don’t know what new technology is going to come out, and things are changing very fast. His work demonstrating the link between the functions of memory and imagination was named one of the “Top Ten Scientific Breakthroughs of 2007” by the journal Science. I’ve always found myself at my best creatively in the small hours of the morning when everything is quiet. There could be negative consequences as well as positive ones. Some of the things they were tackling were incredibly difficult, and no one seemed to be making progress. I can’t speak for what other organizations will do. What do you think you learned from those years of immersion in the game? From https://achievement.org/achiever/demis-hassabis-ph-d/ : Demis Hassabis, the eldest of three, was born in London on July 27, 1976, to a Greek Cypriot father and a Chinese Singaporean mother. We gather you had an unusual childhood in some ways. Demis Hassabis:  The thing I’m most excited about is I think we’re on the cusp now of a new era in scientific discovery, where we’ll be able to use AI and machine learning to help us in areas of science and medicine, to make sense of enormous amounts of data that we’re generating from our experiments, and find new insights and new structure in that vast amount of data. He has co-authored papers on the subject, published in Nature, Science, Neuron, and Proceedings of the National Academy of Sciences (PNAS). He’s one of my all‑time heroes, and he came up with this idea of a Turing machine, which is a machine that can mimic any other machine. Is it just the physical biology or is that something more? was elected a Fellow of the Royal Society, Birthday of IM Brandon Clarke (14-xii-1995), Remembering David Pritchard (19-x-1919 12-xii-2005), Remembering FM Peter Clarke (18-iii-1933 11-xii-2014), Happy Birthday GM Matthew Turner (11-XII-1975), Remembering Joseph Blake (03-ii-1859 11-xii-1951), Best wishes FM Peter Batchelor (10-xii-1996), Remembering IM Bob Wade OBE (10-iv-1921 29-xi-2008) | British Chess News, Remembering Baruch Harold Wood MSc OBE (13-vii-1909 04-iv-1989), Remembering FM Peter Clarke (18-iii-1933 11-xii-2014) | British Chess News, Remembering FM John Littlewood (25-v-1931 16-ix-2009), Remembering Joseph Blake (03-ii-1859 11-xii-1951) | British Chess News, Remembering Henry Bird (14-vii-1830 11-iv-1908), Remembering CGM Keith Bevan Richardson (02-ii-1942 10-iv-2017). Lost the match after ten, twelve hours a beat or just more energetic at DeepMind a hedge market. 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