Demis Hassabis

Demis Hassabis CBE FRS FREng FRSA[2][3] (born 27 July 1976) is a British artificial intelligence researcher and entrepreneur. In his early career he was a video game AI programmer and designer, and an expert board games player.[4][5][6] He is the chief executive officer and co-founder of DeepMind[7] and Isomorphic Labs,[8][9][10] and a UK Government AI Advisor.[11]

Demis Hassabis

CBE FRS FREng FRSA
Demis Hassabis at the Royal Society admissions day in London, July 2018
Born (1976-07-27) 27 July 1976
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[1]
Websitedemishassabis.com

Early life and education

Hassabis was born to a Greek Cypriot father and a Chinese Singaporean mother and grew up in North London.[4][12] A child prodigy in chess from the age of 4,[13][14] Hassabis reached master standard at the age of 13 with an Elo rating of 2300 and captained many of the England junior chess teams.[15] He represented the University of Cambridge in the Oxford-Cambridge varsity chess matches of 1995,[16] 1996[17] and 1997,[18] winning a half blue.

Hassabis was briefly home-schooled by his parents, during which time he bought his first computer, a ZX Spectrum 48K funded from chess winnings, and taught himself how to program from books.[14] He went on to be educated at Christ's College, Finchley,[4] a state-funded comprehensive school in East Finchley, North London. He completed his A-levels and scholarship level exams two years early at the ages of 15 and 16 respectively.

Bullfrog

Asked by Cambridge University to take a gap year due to his young age,[14] 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.[19] Theme Park, a simulation video game, sold several million copies[15] and inspired a whole genre of simulation sandbox games. He earned enough from his gap year to pay his own way through university.[14]

University of Cambridge

Hassabis then left Bullfrog to study at Queens' College, Cambridge, where he completed the Computer Science Tripos and graduated in 1997 with a Double First[15] from the University of Cambridge.[20]

Career and research

Lionhead

After graduating from Cambridge, Hassabis worked at Lionhead Studios.[20] 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.[15]

Elixir Studios

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.[21] In addition to managing the company, Hassabis served as executive designer of the BAFTA-nominated games Republic: The Revolution and Evil Genius.[15]

The release of Elixir's first game, Republic: The Revolution, a highly ambitious and unusual political simulation game,[22] was delayed due to its huge scope, which involved an AI simulation of the workings of an entire fictional country. The final game was reduced from its original vision and greeted with lukewarm reviews, receiving a Metacritic score of 62/100.[23] Evil Genius, a tongue-in-cheek Bond villain simulator, fared much better with a score of 75/100.[24] In April 2005 the intellectual property and technology rights were sold to various publishers and the studio was closed.[25][26]

Neuroscience research at University College London
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.[1] He sought to find inspiration in the human brain for new AI algorithms.[27]

He continued his neuroscience and artificial intelligence research as a visiting scientist jointly at Massachusetts Institute of Technology (MIT), in the lab of Tomaso Poggio, and Harvard University,[4] before earning a Henry Wellcome postdoctoral research fellowship to the Gatsby Computational Neuroscience Unit at UCL in 2009 working with Peter Dayan.[28]

Working in the field of imagination, memory and amnesia, he co-authored several influential papers published in Nature, Science, Neuron and PNAS. His very first academic work, published in PNAS,[29] was a landmark paper that 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,[30] 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.[31] This work received widespread coverage in the mainstream media[32] and was listed in the top 10 scientific breakthroughs of the year by the journal Science.[33] He later generalised these ideas to advance the notion of a 'simulation engine of the mind' whose role it was to imagine events and scenarios to aid with better planning.[34][35]

DeepMind

Hassabis is the CEO and co-founder of DeepMind, a machine learning AI startup, founded in London in 2010 with Shane Legg and Mustafa Suleyman. Hassabis met Legg when both were postdocs at the Gatsby Computational Neuroscience Unit, and he and Suleyman had been friends through family.[36] Hassabis also recruited his university friend and Elixir partner David Silver.[37]

DeepMind's mission is to "solve intelligence" and then use intelligence "to solve everything else".[38] More concretely, DeepMind aims to combine insights from systems neuroscience with new developments in machine learning and 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 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.[39]

DeepMind's early investors included several high-profile tech entrepreneurs.[40][41] In 2014, Google purchased DeepMind for £400 million. Although most of the company has remained an independent entity based in London,[42] DeepMind Health has since been directly incorporated into Google Health.[43]

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.[44][45] 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.[46][47] Additional DeepMind accomplishments include creating a Neural Turing Machine,[48] reducing the energy used by the cooling systems in Google's data centers by 40%,[49] advancing research on AI safety,[50][51] 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.[52]

More recently, DeepMind turned its artificial intelligence to protein folding, a 50-year grand challenge in science, to predict the 3D structure of a protein from its 1D amino acid sequence. This is an important problem in biology, as proteins are essential to life, almost every biological function depends on them, and the function of a protein is thought to be related to its structure. 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.[53] In November 2020, DeepMind again announced world-beating results in the CASP14 edition of the 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, and an overall error of less than the width of an atom, making it competitive with experimental methods.[54][55]

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.[56] Hassabis has predicted that Artificial Intelligence will be "one of the most beneficial technologies of mankind ever" but that significant ethical issues remain.[57]

In 2023, Hassabis signed the statement that "Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war".[58] He considers however that a pause on AI progress would be very hard to enforce worldwide, and that the potential benefits (e.g. for health and against climate change) make it worth continuing. He said that there is an urgent need for research on evaluation tests that measure how capable and controllable new AI models are.[59]

Personal life

Hassabis resides in London with his wife, Teresa, an Italian molecular biologist, and their two children.[60][61][62] He is also a lifelong fan of Liverpool FC.[14]

Awards and honours

Entrepreneurial and scientific

Research

Hassabis's research work has been listed in the Top 10 Scientific Breakthroughs of the Year by Science Magazine on four separate occasions:

  • 2021 Breakthrough of the Year (Winner) - for AlphaFold v2[96]
  • 2020 Breakthrough of the Year (Top 10) - for AlphaFold v1[97]
  • 2016 Breakthrough of the Year (Top 10) - for AlphaGo[98]
  • 2007 Breakthrough of the Year (Top 10) - for neuroscience research on imagination[99]

DeepMind

Games

Hassabis is a five-times winner of the all-round world board games championship (the Pentamind), and an expert player of many games including:[21]

  • Chess: achieved Master standard at age 13 with ELO rating of 2300 (at the time the second-highest in the world for his age after Judit Polgar).
  • 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.[112]
  • Multi-games events at the London Mind Sports Olympiad: World Pentamind Champion (a record five times: 1998, 1999, 2000, 2001, 2003)[113] and World Decamentathlon Champion (twice: 2003, 2004).

References
  1. Hassabis, Demis (2009). Neural processes underpinning episodic memory. discovery.ucl.ac.uk (PhD thesis). University College London. OCLC 926193578. EThOS uk.bl.ethos.564607. Archived from the original on 29 April 2019. Retrieved 30 December 2017. icon of an open green padlock
  2. "Demis HASSABIS, Order of the British Empire". The London Gazette. Archived from the original on 24 January 2018. Retrieved 30 December 2017.
  3. "Demis Hassabis". royalsociety.org. Archived from the original on 13 June 2018. Retrieved 13 June 2018.
  4. 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. Archived from the original on 8 May 2017. Retrieved 3 April 2018.
  5. Demis Hassabis rating card at FIDE
  6. "Demis Hassabis: the secretive computer boffin with the £400 million brain". The Daily Telegraph. 28 January 2014. Archived from the original on 10 May 2018. Retrieved 3 April 2018.
  7. Anon (2017). "Demis HASSABIS". companieshouse.gov.uk. London: Companies House. Archived from the original on 27 April 2017. Retrieved 26 April 2017.
  8. Crist, Ry (4 November 2021). "Alphabet launches Isomorphic Labs, an AI-driven drug discovery startup". CNET. Archived from the original on 4 November 2021. Retrieved 4 November 2021.
  9. Coldeway, Devin (4 November 2021). "Isomorphic Labs is Alphabet's play in AI drug discovery". TechCrunch. Archived from the original on 2 July 2022. Retrieved 4 November 2021.
  10. Bonifacic, Igor (4 November 2021). "Alphabet's Isomorphic Labs is a new company focused on AI-driven drug discovery". www.msn.com. Archived from the original on 4 November 2021. Retrieved 4 November 2021.
  11. "World-leading expert Demis Hassabis to advise new Government Office for Artificial Intelligence". GOV.UK. Archived from the original on 14 June 2020. Retrieved 14 June 2020.
  12. Ahmed, Murad (30 January 2015). "Lunch with the FT: Demis Hassabis". Financial Times. Archived from the original on 24 September 2015. Retrieved 24 August 2015.
  13. "Demis Hassabis, PhD Biography and Interview". www.achievement.org. American Academy of Achievement. Archived from the original on 7 January 2019. Retrieved 22 April 2019.
  14. Hassabis, Demis (5 December 2020). "BBC Radio 4 Profiles, 7pm 5 December 2020". BBC Podcast. Archived from the original on 5 December 2020. Retrieved 5 December 2020.
  15. Gibbs, Samuel (28 January 2014). "Demis Hassabis: 15 facts about the DeepMind Technologies founder". The Guardian. Archived from the original on 16 August 2015. Retrieved 30 July 2016.
  16. 1995 Varsity Chess Match, Oxford v Cambridge - http://www.saund.co.uk/britbase/pgn/199503vars-viewer.html Archived 10 January 2018 at the Wayback Machine - BritBase
  17. 1996 Varsity Chess Match, Oxford v Cambridge - http://www.saund.co.uk/britbase/pgn/199603vars-viewer.html Archived 10 January 2018 at the Wayback Machine - BritBase
  18. 1997 Varsity Chess Match, Oxford v Cambridge - http://www.saund.co.uk/britbase/pgn/199703vars-viewer.html Archived 10 January 2018 at the Wayback Machine - BritBase
  19. "Time 100 AI 2023 - Demis Hassabis". TIME. Time. Retrieved 7 September 2023.
  20. "Demis Hassabis on Desert Island Discs". Desert Island Discs. BBC. Archived from the original on 14 January 2018. Retrieved 18 February 2018.
  21. Hassabis, Demis (2014). "Demis Hassabis Personal Website". demishassabis.com. Archived from the original on 26 April 2015. Retrieved 30 July 2016.{{cite web}}: CS1 maint: unfit URL (link)
  22. Hermida, Alfred (3 September 2003). "Game plays politics with your PC". BBC News. Archived from the original on 15 January 2007. Retrieved 29 April 2011.
  23. "Republic: The Revolution". Metacritic. Archived from the original on 7 February 2017. Retrieved 30 July 2016.
  24. "Evil Genius". Metacritic. Archived from the original on 12 August 2016. Retrieved 30 July 2016.
  25. Remo, Chris (14 July 2009). "Rebellion Acquires Vivendi Licenses, Considers New Franchise Titles". Gamasutra. Archived from the original on 3 March 2016. Retrieved 30 July 2016.
  26. "Elixir Studios". IGN. Archived from the original on 13 October 2012.
  27. 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. Archived (PDF) from the original on 9 December 2017. Retrieved 26 April 2017.
  28. 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". Business Insider. Archived from the original on 25 December 2017. Retrieved 22 December 2017.
  29. 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. Archived (PDF) from the original on 15 August 2015. Retrieved 29 August 2015.
  30. Hassabis, D.; Kumaran, D.; Maguire, E. A. (2007). "Using Imagination to Understand the Neural Basis of Episodic Memory". The Journal of Neuroscience. 27 (52): 14365–14374. doi:10.1523/JNEUROSCI.4549-07.2007. PMC 2571957. PMID 18160644.
  31. 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.
  32. Carey, Benedict (23 January 2007). "Amnesiacs May Be Cut Off From Past and Future Alike". The New York Times. Archived from the original on 2 July 2022. Retrieved 21 February 2017.
  33. The News Staff (2007). "BREAKTHROUGH OF THE YEAR: The Runners-up". Science. 318 (5858): 1844a–. doi:10.1126/science.318.5858.1844a. PMID 18096772.
  34. Hassabis, Demis; Maguire, Eleanor A. (12 May 2009). "The construction system of the brain". Philosophical Transactions of the Royal Society B: Biological Sciences. 364 (1521): 1263–1271. doi:10.1098/rstb.2008.0296. ISSN 0962-8436. PMC 2666702. PMID 19528007.
  35. Schacter, Daniel L.; Addis, Donna Rose; Hassabis, Demis; Martin, Victoria C.; Spreng, R. Nathan; Szpunar, Karl K. (21 November 2012). "The Future of Memory: Remembering, Imagining, and the Brain". Neuron. 76 (4): 677–694. doi:10.1016/j.neuron.2012.11.001. ISSN 0896-6273. PMC 3815616. PMID 23177955.
  36. Rowan, David (22 June 2015). "DeepMind: Inside Google's Super Brain". Wired. Archived from the original on 21 August 2017. Retrieved 26 August 2017.
  37. Metz, Cade (19 May 2016). "What the AI Behind AlphaGo Can Teach Us About Being Human". Wired. Archived from the original on 29 May 2016. Retrieved 6 March 2017.
  38. Simonite, Tom (31 March 2016). "How Google Plans to Solve Artificial Intelligence". MIT Technology Review. Archived from the original on 16 August 2016. Retrieved 30 July 2016.
  39. Simonite, Tom (25 February 2015). "Google's AI Masters Space Invaders But Still Sucks at Pacman". MIT Technology Review. Archived from the original on 16 August 2016. Retrieved 30 July 2016.
  40. "DeepMind Technologies". Angel. 26 January 2015. Archived from the original on 19 September 2016. Retrieved 30 July 2016.
  41. Gannes, Liz (26 January 2014). "Exclusive: Google to Buy Artificial Intelligence Startup DeepMind for $400m". Recode. Archived from the original on 24 July 2016. Retrieved 30 July 2016.
  42. "Google to Buy Artificial Intelligence Company DeepMind". Reuters. 26 January 2015. Archived from the original on 22 April 2017. Retrieved 30 June 2017.
  43. Lomas, Natasha (19 September 2019). "Google completes controversial takeover of DeepMind Health". TechCrunch. Archived from the original on 1 October 2019. Retrieved 19 September 2019.
  44. Koch, Christof (19 March 2016). "How the Computer Beat the Go Master". Scientific American. Archived from the original on 6 September 2017. Retrieved 6 September 2017.
  45. Hassabis, Demis (21 April 2017). "The mind in the machine: Demis Hassabis on artificial intelligence". Financial Times. Archived from the original on 6 September 2017. Retrieved 6 September 2017.
  46. Metz, Cade (27 January 2016). "In a Huge Breakthrough, Google's AI Beats a Top Player at the Game of Go". Wired. Archived from the original on 2 February 2017. Retrieved 6 March 2017.
  47. Yan, Sophia (12 March 2016). "A Google Computer Victorious Over the World's Go Champion". CNN Money. Archived from the original on 8 August 2020. Retrieved 3 August 2020.
  48. "Google's Secretive DeepMind Startup Unveils a Neural Turing Machine". MIT Technology Review. 29 October 2014. Archived from the original on 13 August 2016. Retrieved 30 July 2016.
  49. "DeepMind AI Reduces Google Data Centre Cooling Bill by 40%". DeepMind. 20 July 2016. Archived from the original on 20 October 2021. Retrieved 20 October 2021.
  50. "Google Developing Kill Switch for AI". BBC News. 8 June 2016. Archived from the original on 11 June 2016. Retrieved 21 June 2018.
  51. Cuthbertson, Anthony (8 June 2016). "Google's Big Red Button Could Save the World". Newsweek. Archived from the original on 9 August 2016. Retrieved 30 July 2016.
  52. Hern, Alex (5 July 2016). "Google DeepMind pairs with NHS to use machine learning to fight blindness". The Guardian. Archived from the original on 16 August 2016. Retrieved 30 July 2016.
  53. Sample, Ian (2 December 2018). "Google's DeepMind predicts 3D shapes of proteins". The Guardian. Archived from the original on 18 July 2019. Retrieved 3 December 2018.
  54. "AlphaFold: a solution to a 50-year-old grand challenge in biology". DeepMind. 30 November 2020. Archived from the original on 30 November 2020. Retrieved 30 November 2020.
  55. Briggs, Helen (30 November 2020). "One of biology's biggest mysteries 'largely solved' by AI". BBC News. Archived from the original on 30 November 2020. Retrieved 30 November 2020.
  56. Silver, David (17 June 2016). "Deep Reinforcement Learning". DeepMind Blog. Retrieved 30 July 2016.
  57. "Whether AI will be good or bad, depends on how society uses it: Demis Hassabis, CEO, DeepMind". The Economic Times. 10 March 2018. Archived from the original on 29 March 2018. Retrieved 28 March 2018.
  58. "Statement on AI Risk | CAIS". www.safe.ai. Retrieved 29 June 2023.
  59. Knight, Will. "Google DeepMind CEO Demis Hassabis Says Its Next Algorithm Will Eclipse ChatGPT". Wired. ISSN 1059-1028. Retrieved 29 June 2023.
  60. Burton-Hill, Clemency (16 February 2016). "The superhero of artificial intelligence: can this genius keep it in check?". The Observer.
  61. Ahmed, Murad (30 January 2015). "Lunch with the FT: Demis Hassabis". Financial Times.
  62. "Exclusive interview: meet Demis Hassabis, London's megamind who just". Evening Standard. 7 February 2014.
  63. Albert Lasker Award for Basic Medical Research 2023
  64. Canada Gairdner International Award 2023
  65. "Breakthrough Prizes 2023". Retrieved 22 September 2022.
  66. Andina, Michele (2 February 2023). "A 'neutral' hub for artificial intelligence in the Swiss Alps". SWI swissinfo.ch. Retrieved 19 July 2023.
  67. BBVA Foundation Frontiers of Knowledge Award 2022
  68. "Princess of Asturias Awards 2022". Archived from the original on 15 June 2022. Retrieved 15 June 2022.
  69. Wiley Prize 2022
  70. "IRI Medal 2021". Archived from the original on 11 April 2022. Retrieved 4 June 2022.
  71. "Demis Hassabis". American Academy of Arts & Sciences. Retrieved 14 September 2022.
  72. "The 50 most influential people in Britain". British GQ. 5 February 2020. Archived from the original on 13 May 2020. Retrieved 13 June 2020.
  73. "Laureates 2020". www.dandavidprize.org. Archived from the original on 28 June 2021. Retrieved 13 February 2020.
  74. "The 50 most influential people in UK IT 2019". computerweekly.com. Archived from the original on 21 June 2020. Retrieved 13 June 2020.
  75. "Distinguished scientists elected as Fellows and Foreign Members of the Royal Society". The Royal Society. Royal Society. Archived from the original on 9 May 2018. Retrieved 9 May 2018.
  76. "Honorary graduates, fellows and Imperial College medals | About | Imperial College London". www.imperial.ac.uk. Retrieved 14 September 2022.
  77. "New Year Honours 2018: AI chief Demis Hassabis made CBE". BBC News. 29 December 2017. Archived from the original on 19 August 2018. Retrieved 21 June 2018.
  78. Kurzweil, Ray (20 April 2017). "Demis Hassabis". Time. Archived from the original on 20 April 2017. Retrieved 20 April 2017.
  79. "Asian Awards". The Asian Awards. 2017. Archived from the original on 28 August 2017. Retrieved 8 June 2017.
  80. "Fellow of the Royal Academy of Engineering". Royal Academy of Engineering. 2017. Archived from the original on 2 October 2017. Retrieved 25 September 2017.
  81. "Golden Plate Awardees of the American Academy of Achievement". www.achievement.org. American Academy of Achievement. Archived from the original on 12 December 2017. Retrieved 22 April 2019.
  82. "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. Archived from the original on 17 September 2020. Retrieved 4 October 2020.
  83. "Honorary Fellows of UCL". UCL Website. Archived from the original on 20 November 2016. Retrieved 20 November 2016.
  84. 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. Archived from the original on 3 May 2017. Retrieved 3 April 2018.
  85. "Royal Academy of Engineering Silver Medal". Royal Academy of Engineering. 2015. Archived from the original on 13 November 2016. Retrieved 30 July 2016.
  86. Manthorpe, Rowland (9 November 2016). "DeepMind and OpenBionics among the winners at the WIRED Audi Innovation Awards". Wired. Archived from the original on 25 August 2017. Retrieved 26 August 2017.
  87. 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.
  88. Anon (2016). "Nature's 10". Nature. 540 (7634): 507–515. Bibcode:2016Natur.540..507.. doi:10.1038/540507a. ISSN 0028-0836. PMID 30905952.
  89. "Demis Hassabis, Ph.D." Academy of Achievement. Archived from the original on 17 September 2020. Retrieved 14 June 2020.
  90. "Europe's Top 50 Tech Entrepreneurs". Financial Times. 19 June 2015. Archived from the original on 2 July 2022. Retrieved 30 July 2016.
  91. Rice, Andrew (13 February 2015). "The Hassabis Fellowship in Computer Science". University of Cambridge, Queens' College – Computer Science. Archived from the original on 13 June 2020. Retrieved 13 June 2020.
  92. "Leading the way: Top 20 Londoners in The 1000 power list". Evening Standard. 16 October 2014. Archived from the original on 2 July 2022. Retrieved 3 April 2018.
  93. "Acclaimed Neuroscientist and Google DeepMind founder wins Royal Society Mullard Award". The Royal Society. 21 November 2014. Archived from the original on 10 October 2016. Retrieved 31 December 2014.
  94. Redman, Craig (9 December 2013). "The Wired Smart List 2013". Wired. Archived from the original on 7 October 2019. Retrieved 26 August 2017.
  95. Anon (2015). "Artificial Intelligence and the Future with Demis Hassabis". rts.org.uk. Royal Television Society. Archived from the original on 7 August 2016. Retrieved 30 July 2016.
  96. "Science's 2021 Breakthrough of the Year: AI brings protein structures to all". www.science.org. Retrieved 14 September 2022.
  97. "Science's Breakthrough of the Year 2020: shots of hope in a pandemic-ravaged world". vis.sciencemag.org. Archived from the original on 30 October 2021. Retrieved 19 October 2021.
  98. "From AI to protein folding: Our Breakthrough runners-up". Science. 22 December 2016. Archived from the original on 17 June 2022. Retrieved 30 June 2022.
  99. The News Staff (21 December 2007). "The Runners-Up". Science. 318 (5858): 1844a–1849a. doi:10.1126/science.318.5858.1844a. PMID 18096772.
  100. "Cambridge Computer Laboratory Hall of Fame Awards". University of Cambridge Website. 2016. Archived from the original on 3 February 2016. Retrieved 30 July 2016.
  101. "Volume 518 Issue 7540, 26 February 2015". nature.com. Archived from the original on 29 July 2020. Retrieved 11 June 2020.
  102. "Volume 529 Issue 7587, 28 January 2016". nature.com. Archived from the original on 29 July 2020. Retrieved 11 June 2020.
  103. "Volume 575 Issue 7782, 14 November 2019". nature.com. Archived from the original on 29 July 2020. Retrieved 11 June 2020.
  104. "Volume 577 Issue 7792, 30 January 2020". nature.com. Archived from the original on 29 July 2020. Retrieved 11 June 2020.
  105. "Volume 596 Issue 7873, 26 August 2021". www.nature.com. Archived from the original on 2 December 2021. Retrieved 2 December 2021.
  106. "Volume 600 Issue 7887, 2 December 2021". www.nature.com. Archived from the original on 2 December 2021. Retrieved 2 December 2021.
  107. Smith, Chrystal (12 December 2018). "Checkmate: how we mastered the AlphaZero cover". sciencemag.org. Archived from the original on 2 July 2022. Retrieved 11 June 2020.
  108. Kahng, Jee Heun (15 March 2016). "Google artificial intelligence program beats S. Korean Go pro with 4-1 score". Reuters. Archived from the original on 28 July 2017. Retrieved 30 June 2017.
  109. "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. Archived from the original on 11 June 2020. Retrieved 11 June 2020.
  110. Wentz, Laurel (22 June 2016). "Google DeepMind AlphaGo in U.K. Wins Innovation Grand Prix". Reuters. Archived from the original on 31 July 2016. Retrieved 30 July 2016.
  111. "City AM Awards 2016". City AM Website. Archived from the original on 21 November 2016. Retrieved 20 November 2016.
  112. "HendonMob Poker database". Archived from the original on 23 April 2018. Retrieved 22 April 2018.
  113. "Pentamind". Mind Sports Olympiad. 2015. Archived from the original on 15 August 2016. Retrieved 30 July 2016.
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