Demis Hassabis

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Demis Hassabis

Demis Hassabis Royal Society.jpg
Demis Hassabis at the Royal Society admissions day in London, July 2018
Born (1976-07-27) 27 July 1976 (age 44)
London, England, UK
NationalityBritish
EducationChrist's College, Finchley
Alma mater
Known for
Awards
Scientific career
Fields
Institutions
ThesisNeural processes underpinning episodic memory (2009)
Doctoral advisorEleanor Maguire[6]
InfluencesPeter Molyneux
Websitedemishassabis.com

Demis Hassabis[7][6][8] CBE FRS FREng FRSA[9] (born 27 July 1976) is a British artificial intelligence researcher, neuroscientist, video game designer, entrepreneur, and five times winner of the Pentamind board games championship.[5][1][10][11][12][13][14][15] He is the chief executive officer and co-founder of DeepMind,[16][17] and a UK Government AI Advisor since 2018.[7]

Early life and education[edit]

Hassabis was born to a Greek Cypriot father and a Chinese Singaporean mother and grew up in North London.[10][18] A child prodigy in chess from the age of 4,[19][20] Hassabis reached master standard at the age of 13 with an Elo rating of 2300 and captained many of the England junior chess teams.[21] He represented the University of Cambridge in the Oxford-Cambridge varsity chess matches of 1995,[22] 1996[23] and 1997,[24] winning a half blue.

Hassabis was briefly home schooled by his mother, during which he bought and modified his first computer, a ZX Spectrum funded from chess winnings.[20] He went on to be educated at Christ's College, Finchley,[10] a state-funded comprehensive school in East Finchley, North London. He completed his A-levels and scholarship level exams early at the age of 15 and 16.

Bullfrog[edit]

Asked by Cambridge University to take a gap year,[20] Hassabis began his computer games career at Bullfrog Productions, first level designing on Syndicate, and then at 17 co-designing and lead programming on the 1994 game Theme Park, with the games designer Peter Molyneux. Theme Park, a simulation video game, sold over ten million copies and won a Golden Joystick Award,[citation needed] and inspired a whole genre of management sim games. He earned enough to buy his first motor car, a Porsche; he would use it to arrive at university during Freshers' Week.[20]

University of Cambridge[edit]

Hassabis then left Bullfrog to study at Queens' College, Cambridge, where he completed the Computer Science Tripos graduating in 1997 with a Double First[21] from the University of Cambridge.[15] Cambridge was where he met his wife, a molecular biologist; they have two sons.[25][20]

Career and research[edit]

Lionhead[edit]

After graduating from Cambridge, Hassabis worked at Lionhead Studios.[15] Games designer Peter Molyneux, with whom Hassabis had worked at Bullfrog Productions, had recently founded the company. At Lionhead, Hassabis worked as lead AI programmer on the 2001 "god" game Black & White.[21]

Elixir Studios[edit]

Hassabis left Lionhead in 1998 to found Elixir Studios, a London-based independent games developer, signing publishing deals with Eidos Interactive, Vivendi Universal and Microsoft.[26] In addition to managing the company, Hassabis served as executive designer of the BAFTA-nominated games Republic: The Revolution and Evil Genius.[21]

The release of Elixir's first game, Republic: The Revolution, a highly ambitious and unusual political simulation game,[27] was delayed due to its huge scope. The final game was reduced from its original vision and greeted with lukewarm reviews, receiving a Metacritic score of 62/100.[28] Evil Genius, a tongue-in-cheek Bond villain simulator, fared much better with a score of 75/100.[29] In April 2005 the intellectual property and technology rights were sold to various publishers and the studio was closed.[30][31]

University College London[edit]

Demis Hassabis (left) with Blaise Agüera y Arcas (right) in 2014, at the Wired conference in London

Following Elixir Studios, Hassabis returned to academia to obtain his PhD in cognitive neuroscience from University College London (UCL) in 2009 supervised by Eleanor Maguire.[6] He sought to find inspiration in the human brain for new AI algorithms.[32]

He continued his neuroscience and artificial intelligence research as a visiting scientist jointly at Massachusetts Institute of Technology (MIT), under Tomaso Poggio, and Harvard University,[10] before earning a Henry Wellcome postdoctoral research fellowship to the Gatsby Charitable Foundation computational neuroscience unit, UCL in 2009.[33]

Working in the field of autobiographical memory and amnesia, he co-authored several influential papers[5] published in Nature, Science, Neuron and PNAS. One of his most highly cited papers,[34] published in PNAS, showed systematically for the first time that patients with damage to their hippocampus, known to cause amnesia, were also unable to imagine themselves in new experiences. The finding established a link between the constructive process of imagination and the reconstructive process of episodic memory recall. Based on this work and a follow-up Functional magnetic resonance imaging (fMRI) study,[35] Hassabis developed a new theoretical account of the episodic memory system identifying scene construction, the generation and online maintenance of a complex and coherent scene, as a key process underlying both memory recall and imagination.[36] This work received widespread coverage in the mainstream media[37] and was listed in the top 10 scientific breakthroughs of the year in any field by the journal Science.[38]

DeepMind[edit]

Hassabis is the CEO and co-founder of DeepMind,[16][17] a machine learning AI startup, founded in London in 2010 with Shane Legg and Mustafa Suleyman. Hassabis met Legg when both were postdocs at University College London's Gatsby Computational Neuroscience Unit, and he and Suleyman had been friends through family.[39] Hassabis also recruited his university friend and Elixir partner David Silver.[40]

DeepMind's mission is to "solve intelligence" and then use intelligence "to solve everything else".[41] More concretely, DeepMind aims to meld insights from neuroscience and machine learning with new developments in computing hardware to unlock increasingly powerful general-purpose learning algorithms that will work towards the creation of an artificial general intelligence (AGI). The company has focused on training learning algorithms to master games, and in December 2013 it famously announced that it had made a pioneering breakthrough by training an algorithm called a Deep Q-Network (DQN) to play Atari games at a superhuman level by only using the raw pixels on the screen as inputs.[42]

DeepMind's early investors included several high-profile tech entrepreneurs.[43][44] In 2014, Google purchased DeepMind for £400 million, although most of the company has remained an independent entity based in London,[45] DeepMind Health has since been directly incorporated into Google Health.[46]

Since the Google acquisition, the company has notched up a number of significant achievements, perhaps the most notable being the creation of AlphaGo, a program that defeated world champion Lee Sedol at the complex game of Go. Go had been considered a holy grail of AI, for its high number of possible board positions and resistance to existing programming techniques.[47][48] However, AlphaGo beat European champion Fan Hui 5-0 in October 2015 before winning 4-1 against former world champion Lee Sedol in March 2016.[49][50] Additional DeepMind accomplishments include creating a Neural Turing machine,[51] advancing research on AI safety,[52][53] and the creation of a partnership with the National Health Service (NHS) of the United Kingdom and Moorfields Eye Hospital to improve medical service and identify the onset of degenerative eye conditions.[54]

More recently, DeepMind turned its artificial intelligence to protein-folding, one of the toughest problems in science. In December 2018, DeepMind's tool AlphaFold won the 13th Critical Assessment of Techniques for Protein Structure Prediction (CASP) by successfully predicting the most accurate structure for 25 out of 43 proteins. "This is a lighthouse project, our first major investment in terms of people and resources into a fundamental, very important, real-world scientific problem", Hassabis said to the Guardian.[55] In November 2020, DeepMind again announced winning results in the CASP competition, with a median global distance test (GDT) score of 87.0 across protein targets in the challenging free-modeling category, much higher than the same 2018 results with a median GDT < 60.[56][57]

DeepMind has also been responsible for technical advancements in machine learning, having produced a number of award-winning papers. In particular, the company has made significant advances in deep learning and reinforcement learning, and pioneered the field of deep reinforcement learning which combines these two methods.[58] Hassabis has predicted that Artificial Intelligence will be "one of the most beneficial technologies of mankind ever" but that significant ethical issues remain.[59]

Awards and honours[edit]

Entrepreneurial and scientific[edit]

DeepMind[edit]

Games[edit]

Hassabis is an expert player of many games including:[26]

  • Chess: achieved Master standard at age 13 with ELO rating of 2300 (at the time the second-highest in the world for his age).
  • Diplomacy: World Team Champion in 2004, 4th in 2006 World Championship, 3rd in 2004 European Championship.
  • Poker: cashed at the World Series of Poker six times including in the Main Event.[95]
  • Multi-games events at the London Mind Sports Olympiad: World Pentamind Champion (a record five times: 1998, 1999, 2000, 2001, 2003)[96] and World Decamentathlon Champion (twice: 2003, 2004).

References[edit]

  1. ^ a b c Demis Hassabis at IMDb
  2. ^ Castelvecchi, Davide; Gibney, Elizabeth; Cressey, Daniel; Tollefson, Jeff; Butler, Declan; Van Noorden, Richard; Reardon, Sara; Ledford, Heidi; Witze, Alexandra (2016). "Nature's 10". Nature. 540 (7634): 507–515. Bibcode:2016Natur.540..507.. doi:10.1038/540507a. ISSN 0028-0836. PMID 30905952.
  3. ^ a b "Acclaimed Neuroscientist and Google DeepMind founder wins Royal Society Mullard Award", The Royal Society, 21 November 2014
  4. ^ "Mind Sports Olympiad contestant page for Demis Hassabis". Mind Sports Olympiad. Retrieved 26 April 2019.
  5. ^ a b c Demis Hassabis publications indexed by Google Scholar Edit this at Wikidata
  6. ^ a b c Hassabis, Demis (2009). Neural processes underpinning episodic memory. discovery.ucl.ac.uk (PhD thesis). University College London. OCLC 926193578. EThOS uk.bl.ethos.564607. Free to read
  7. ^ a b c "World-leading expert Demis Hassabis to advise new Government Office for Artificial Intelligence". GOV.UK. Retrieved 14 June 2020.
  8. ^ a b "Demis HASSABIS, Order of the British Empire". The London Gazette.
  9. ^ a b "Demis Hassabis". royalsociety.org.
  10. ^ a b c d Gardner, Jasmine (31 January 2014). "Exclusive interview: meet Demis Hassabis, London's megamind who just sold his company to Google for £400m". London Evening Standard.
  11. ^ Demis Hassabis rating card at FIDE
  12. ^ "Demis Hassabis: the secretive computer boffin with the £400 million brain". The Daily Telegraph. 28 January 2014.
  13. ^ Silver, David; Huang, Aja; Maddison, Chris J.; Guez, Arthur; Sifre, Laurent; Driessche, George van den; Schrittwieser, Julian; Antonoglou, Ioannis; Panneershelvam, Veda; Lanctot, Marc; Dieleman, Sander; Grewe, Dominik; Nham, John; Kalchbrenner, Nal; Sutskever, Ilya; Lillicrap, Timothy; Leach, Madeleine; Kavukcuoglu, Koray; Graepel, Thore; Hassabis, Demis (28 January 2016). "Mastering the game of Go with deep neural networks and tree search". Nature. 529 (7587): 484–489. Bibcode:2016Natur.529..484S. doi:10.1038/nature16961. ISSN 0028-0836. PMID 26819042. S2CID 515925.closed access
  14. ^ Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Rusu, Andrei A.; Veness, Joel; Bellemare, Marc G.; Graves, Alex; Riedmiller, Martin; Fidjeland, Andreas K.; Ostrovski, Georg; Petersen, Stig; Beattie, Charles; Sadik, Amir; Antonoglou, Ioannis; King, Helen; Kumaran, Dharshan; Wierstra, Daan; Legg, Shane; Hassabis, Demis (2015). "Human-level control through deep reinforcement learning". Nature. 518 (7540): 529–533. Bibcode:2015Natur.518..529M. doi:10.1038/nature14236. ISSN 0028-0836. PMID 25719670. S2CID 205242740.
  15. ^ a b c "Demis Hassabis on Desert Island Discs". bbc.co.uk. BBC.
  16. ^ a b Anon (2017). "Demis HASSABIS". companieshouse.gov.uk. London: Companies House.
  17. ^ a b "Google DeepMind". www.deepmind.com. Retrieved 30 July 2016.
  18. ^ Ahmed, Murad (30 January 2015). "Lunch with the FT: Demis Hassabis". Financial Times.
  19. ^ "Demis Hassabis, PhD Biography and Interview". www.achievement.org. American Academy of Achievement.
  20. ^ a b c d e Hassabis, Demis (5 December 2020). "BBC Radio 4 Profiles, 7pm 5 December 2020". BBC Podcast. Retrieved 5 December 2020.
  21. ^ a b c d Gibbs, Samuel (2014). "Demis Hassabis: 15 facts about the DeepMind Technologies founder". The Guardian.
  22. ^ 1995 Varsity Chess Match, Oxford v Cambridge - http://www.saund.co.uk/britbase/pgn/199503vars-viewer.html - BritBase
  23. ^ 1996 Varsity Chess Match, Oxford v Cambridge - http://www.saund.co.uk/britbase/pgn/199603vars-viewer.html - BritBase
  24. ^ 1997 Varsity Chess Match, Oxford v Cambridge - http://www.saund.co.uk/britbase/pgn/199703vars-viewer.html - BritBase
  25. ^ "Exclusive interview: meet Demis Hassabis, London's megamind who just". Evening Standard. 31 January 2014. Retrieved 5 December 2020.
  26. ^ a b Hassabis, Demis (2014), "Demis Hassabis Personal Website", demishassabis.com
  27. ^ Hermida, Alfred (3 September 2003), "Game plays politics with your PC", BBC, retrieved 29 April 2011
  28. ^ "Republic: The Revolution". Metacritic. Retrieved 30 July 2016.
  29. ^ "Evil Genius". Metacritic. Retrieved 30 July 2016.
  30. ^ Remo, Chris (14 July 2009), "Rebellion Acquires Vivendi Licenses, Considers New Franchise Titles", Gamasutra
  31. ^ "Elixir Studios", IGN
  32. ^ Brooks R, Hassabis D, Bray D, Shashua A (2012). "Turing centenary: Is the brain a good model for machine intelligence?" (PDF). Nature. 482 (7386): 462–463. Bibcode:2012Natur.482..462.. doi:10.1038/482462a. ISSN 0028-0836. PMID 22358812. S2CID 205070106.
  33. ^ Shead, Sam (21 May 2017). "The incredible life of DeepMind founder Demis Hassabis, the computer whiz who sold his AI lab to Google for £400 million". businessinsider.com. Retrieved 22 December 2017.
  34. ^ Hassabis, D.; Kumaran, D.; Vann, S. D.; Maguire, E. A. (2007). "Patients with hippocampal amnesia cannot imagine new experiences" (PDF). Proceedings of the National Academy of Sciences. 104 (5): 1726–31. Bibcode:2007PNAS..104.1726H. doi:10.1073/pnas.0610561104. PMC 1773058. PMID 17229836.
  35. ^ Hassabis, D.; Kumaran, D.; Maguire, E. A. (2007). "Using Imagination to Understand the Neural Basis of Episodic Memory". Journal of Neuroscience. 27 (52): 14365–14374. doi:10.1523/JNEUROSCI.4549-07.2007. PMC 2571957. PMID 18160644.
  36. ^ Hassabis, D.; Maguire, E. A. (2007). "Deconstructing episodic memory with construction". Trends in Cognitive Sciences. 11 (7): 299–306. doi:10.1016/j.tics.2007.05.001. PMID 17548229. S2CID 13939288.
  37. ^ "Amnesiacs May Be Cut Off From Past and Future Alike", The New York Times, 23 January 2007
  38. ^ The News Staff (2007). "BREAKTHROUGH OF THE YEAR: The Runners-up". Science. 318 (5858): 1844a–. doi:10.1126/science.318.5858.1844a. PMID 18096772.
  39. ^ Rowan, David (22 June 2015), "DeepMind: Inside Google's Super Brain", Wired
  40. ^ Metz, Cade (19 May 2016), "What the AI Behind AlphaGo Can Teach Us About Being Human", Wired
  41. ^ Simonite, Tom (31 March 2016), "How Google Plans to Solve Artificial Intelligence", MIT Technology Review
  42. ^ Simonite, Tom (25 February 2015), "Google's AI Masters Space Invaders But Still Sucks at Pacman", MIT Technology Review
  43. ^ "DeepMind Technologies", Angel, 26 January 2015
  44. ^ Gannes, Liz (26 January 2014), "Exclusive: Google to Buy Artificial Intelligence Startup DeepMind for $400m", Recode
  45. ^ "Google to Buy Artificial Intelligence Company DeepMind", Reuters, 26 January 2015
  46. ^ "Google completes controversial takeover of DeepMind Health". TechCrunch. Retrieved 19 September 2019.
  47. ^ Koch, Christof (19 March 2016). "How the Computer Beat the Go Master". Scientific American.
  48. ^ Hassabis, Demis (21 April 2017). "The mind in the machine: Demis Hassabis on artificial intelligence". Financial Times.
  49. ^ Metz, Cade (27 January 2016), "In a Huge Breakthrough, Google's AI Beats a Top Player at the Game of Go", Wired
  50. ^ Yan, Sophia (12 March 2016), "A Google Computer Victorious Over the World's Go Champion", CNN Money
  51. ^ "Google's Secretive DeepMind Startup Unveils a Neural Turing Machine", MIT Technology Review, 29 October 2014
  52. ^ "Google Developing Kill Switch for AI", BBC, 8 June 2016
  53. ^ Cuthbertson, Anthony (8 June 2016), "Google's Big Red Button Could Save the World", Newsweek
  54. ^ Hern, Alex (5 July 2016), "Google DeepMind pairs with NHS to use machine learning to fight blindness", The Guardian
  55. ^ Sample, Ian (2 December 2018). "Google's DeepMind predicts 3D shapes of proteins". the Guardian. Retrieved 3 December 2018.
  56. ^ "AlphaFold: a solution to a 50-year-old grand challenge in biology". deepmind.com. 30 November 2020. Retrieved 30 November 2020.
  57. ^ Briggs, Helen (30 November 2020). "One of biology's biggest mysteries 'largely solved' by AI". bbc.com. Retrieved 30 November 2020.
  58. ^ Silver, David (17 June 2016), "Deep Reinforcement Learning", DeepMind Blog
  59. ^ "Whether AI will be good or bad, depends on how society uses it: Demis Hassabis, CEO, DeepMind". The Economic Times. 10 March 2018. Retrieved 28 March 2018.
  60. ^ the news staff (21 December 2007), "The Runners-Up", Science, 318 (5858): 1844a–1849a, doi:10.1126/science.318.5858.1844a, PMID 18096772
  61. ^ Anon (2015), "Artificial Intelligence and the Future with Demis Hassabis", rts.org.uk, Royal Television Society
  62. ^ Rowley, Tom (28 January 2014), "Demis Hassabis, the Secretive Computer Boffin with the 400 Million Dollar Brain", The Telegraph
  63. ^ Redman, Craig (9 December 2013), "The Wired Smart List 2013", Wired
  64. ^ "Leading the way: Top 20 Londoners in The 1000 power list", The Evening Standard, 16 October 2014
  65. ^ Rice, Andrew (13 February 2015). "The Hassabis Fellowship in Computer Science". University of Cambridge, Queens' College - Computer Science. Retrieved 13 June 2020.
  66. ^ "Europe's Top 50 Tech Entrepreneurs", Financial Times, 19 June 2015
  67. ^ "Demis Hassabis, Ph.D." Academy of Achievement. Retrieved 14 June 2020.
  68. ^ "Honorary Fellows of UCL", UCL Website, archived from the original on 20 November 2016, retrieved 20 November 2016
  69. ^ Crerar, Pippa (7 September 2016), "The Progress 1000: Mayor Sadiq Khan leads the Evening Standard's list of London's most influential people", Evening Standard
  70. ^ "Royal Academy of Engineering Silver Medal", Royal Academy of Engineering, 2015
  71. ^ a b Manthorpe, Rowland (9 November 2016), "DeepMind and OpenBionics among the winners at the WIRED Audi Innovation Awards", WIRED
  72. ^ Anon (2016). "Nature's 10". Nature. 540 (7634): 507–515. Bibcode:2016Natur.540..507.. doi:10.1038/540507a. ISSN 0028-0836. PMID 30905952.
  73. ^ "Demis Hassabis". Time. 20 April 2017. Retrieved 20 April 2017.
  74. ^ "Asian Awards". 2017. Retrieved 8 June 2017.
  75. ^ "Fellow of the Royal Academy of Engineering". 2017. Retrieved 25 September 2017.
  76. ^ "Golden Plate Awardees of the American Academy of Achievement". www.achievement.org. American Academy of Achievement.
  77. ^ "2017 Summit Highlights Photo: Awards Council member and British cosmologist Lord Martin Rees presents the Golden Plate Award to Demis Hassabis, a British pioneer of artificial intelligence and Founder & CEO of DeepMind, at a ceremony in London". American Academy of Achievement.
  78. ^ Anon (2017). "New Year Honours 2018: AI chief Demis Hassabis made CBE". bbc.com. BBC News.
  79. ^ "Distinguished scientists elected as Fellows and Foreign Members of the Royal Society". The Royal Society. Royal Society.
  80. ^ "The 50 most influential people in UK IT 2019". computerweekly.com. Retrieved 13 June 2020.
  81. ^ "The 50 most influential people in Britain". British GQ. Retrieved 13 June 2020.
  82. ^ "Laureates 2020". www.dandavidprize.org.
  83. ^ "List of participants of SAGE and related sub-groups". GOV.UK. Retrieved 13 June 2020.
  84. ^ "Cambridge Computer Laboratory Hall of Fame Awards", University of Cambridge Website, 2016
  85. ^ "Volume 518 Issue 7540, 26 February 2015". nature.com. Retrieved 11 June 2020.
  86. ^ "Volume 529 Issue 7587, 28 January 2016". nature.com. Retrieved 11 June 2020.
  87. ^ "Volume 575 Issue 7782, 14 November 2019". nature.com. Retrieved 11 June 2020.
  88. ^ "Volume 577 Issue 7792, 30 January 2020". nature.com. Retrieved 11 June 2020.
  89. ^ Smith, Chrystal (12 December 2018). "Checkmate: how we mastered the AlphaZero cover". sciencemag.org. Retrieved 11 June 2020.
  90. ^ Kahng, Jee Heun (15 March 2016), "Google artificial intelligence program beats S. Korean Go pro with 4-1 score", Reuters
  91. ^ "中国围棋协会授予AlphaGo职业九段 并颁发证书-搜狐体育". sports.sohu.com. Retrieved 11 June 2020.
  92. ^ Wentz, Laurel (22 June 2016), Google DeepMind AlphaGo in U.K. Wins Innovation Grand Prix, Reuters
  93. ^ "City AM Awards 2016", City AM Website
  94. ^ Anon (2016), From AI to protein folding: Our Breakthrough runners-up, Science
  95. ^ HendonMob Poker database
  96. ^ "Pentamind", Mind Sports Olympiad, 2015