Biography:Demis Hassabis

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Short description: British entrepreneur and artificial intelligence researcher (born 1976)
Demis Hassabis

CBE FRS FREng FRSA
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 47)
London, England, UK
NationalityUnited Kingdom
Education
  • Queen Elizabeth's School, Barnet
  • Christ's College, Finchley
Alma mater
Known for
Awards
  • Breakthrough Prize in Life Sciences (2023)
  • Albert Lasker Award for Basic Medical Research (2023)
  • Canada Gairdner International Award (2023)
  • BBVA Foundation Frontiers of Knowledge Award (2022)
  • Dan David Prize (2020)
Scientific career
Fields
Institutions
ThesisNeural processes underpinning episodic memory (2009)
Doctoral advisorEleanor Maguire[1]
Websitedemishassabis.com

Demis Hassabis CBE FRS FREng FRSA[2][3] (born 27 July 1976) is a British computer scientist, 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] He is a Fellow of the Royal Society, and has won many prestigious awards for his work on AlphaFold including the Breakthrough Prize, the Canada Gairdner International Award, and the Lasker Award. In 2017 he was appointed a CBE and listed in the Time 100 most influential people list.

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.

Between 1988 and 1990, Hassabis was educated at Queen Elizabeth's School, Barnet, a boys' grammar school in Barnet. He was subsequently 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]

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 and Evil Genius.[15]

The release of Elixir's first game, Republic, 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 North London with his family.[60][61][62] He is also a lifelong fan of Liverpool FC.[14]

Awards and honours

Entrepreneurial and scientific

  • 2023 - Albert Lasker Award for Basic Medical Research[63]
  • 2023 - Canada Gairdner International Award[64]
  • 2023 - Breakthrough Prize in Life Sciences for developing AlphaFold, which accurately predicts the structure of protein[65]
  • 2022 - Global Swiss AI Award[66]
  • 2022 - BBVA Foundation Frontiers of Knowledge Award in the category "Biology and Biomedicine".[67]
  • 2022 - Princess of Asturias Award (with Yoshua Bengio, Geoffrey Hinton, and Yann LeCun) for Technical and Scientific Research[68]
  • 2022 - Wiley Prize in Biomedical Sciences[69]
  • 2021 - IRI Medal, established by the Industrial Research Institute (IRI)[70]
  • 2021 - International Honorary Member of the American Academy of Arts and Sciences[71]
  • 2020 - Pius XI Medal from the Pontifical Academy of Sciences
  • 2020 - The 50 most influential people in Britain from British GQ magazine[72]
  • 2020 - Dan David Prize - Future Award[73]
  • 2019 - Winner of UKtech50 (the 50 most influential people in UK technology) from Computer Weekly[74]
  • 2018 - Elected a Fellow of the Royal Society (FRS) in May 2018[3][75]
  • 2018 - Adviser to the UK's Government Office for Artificial Intelligence[11]
  • 2018 - Honorary Doctorate, Imperial College London[76]
  • 2017 - Appointed Commander of the Order of the British Empire (CBE) in the 2018 New Year Honours for "services to Science and Technology".[2][77]
  • 2017 - Time 100: The 100 Most Influential People[78]
  • 2017 - The Asian Awards: Outstanding Achievement in Science and Technology[79]
  • 2017 - Elected a Fellow of the Royal Academy of Engineering (FREng)[80]
  • 2017 - American Academy of Achievement: Golden Plate Award[81][82]
  • 2016 - Honorary Fellow, University College London[83]
  • 2016 - London Evening Standard list of influential Londoners, number 6[84]
  • 2016 - Royal Academy of Engineering Silver Medal[85]
  • 2016 - WIRED Leadership in Innovation[86]
  • 2016 - Nature's 10: the 10 most influential (good or bad) scientists of the year[87][88]
  • 2016 - Financial Times Digital Entrepreneur of the Year[89]
  • 2015 - Financial Times top 50 Entrepreneurs in Europe[90]
  • 2015 - Fellow Benefactor, Queens' College, Cambridge[91]
  • 2014 - Third most influential Londoner according to the London Evening Standard[92]
  • 2014 - Mullard Award of the Royal Society[93]
  • 2013 - Listed on WIRED's 'Smart 50'[94]
  • 2009 - Fellow of the Royal Society of Arts (FRSA)[95]

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

  • Cambridge Computer Laboratory Company of the Year (2014)[100]
  • Six Nature front cover articles (2015,[101] 2016,[102] 2019,[103] 2020,[104] and two in 2021[105][106]) and one Science front cover article (2017[107])
  • Honorary 9-dan Go rank for AlphaGo from Korean Baduk Association (2016)[108] and Chinese Weiqi Association (2017)[109]
  • Cannes Lion Grand Prix for AlphaGo (2016)[110]
  • WIRED Innovation in AI Award (2016)[86]
  • City AM Innovative Company of the Year (2016)[111]

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).[citation needed]
  • Diplomacy: World Team Champion in 2004, 4th in 2006 World Championship, 3rd in 2004 European Championship.[citation needed]
  • 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. ↑ 1.0 1.1 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. Free to read
  2. ↑ 2.0 2.1 "Demis HASSABIS, Order of the British Empire". The London Gazette. https://www.thegazette.co.uk/notice/2937937. 
  3. ↑ 3.0 3.1 "Demis Hassabis". https://royalsociety.org/people/demis-hassabis-13817/. 
  4. ↑ 4.0 4.1 4.2 4.3 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. https://www.standard.co.uk/lifestyle/london-life/exclusive-interview-meet-demis-hassabis-londons-megamind-who-just-sold-his-company-to-google-for-9098707.html. 
  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. https://www.telegraph.co.uk/technology/10602390/Demis-Hassabis-the-secretive-computer-boffin-with-the-400-million-brain.html. 
  7. ↑ Anon (2017). "Demis HASSABIS". London: Companies House. https://beta.companieshouse.gov.uk/officers/hI2vPPsUbVlqy9lHB_I6GiDdyKM/appointments. 
  8. ↑ Crist, Ry (2021-11-04). "Alphabet launches Isomorphic Labs, an AI-driven drug discovery startup" (in en). https://www.cnet.com/news/alphabet-launches-isomorphic-labs-an-ai-driven-drug-discovery-startup/. 
  9. ↑ Coldeway, Devin (2021-11-04). "Isomorphic Labs is Alphabet's play in AI drug discovery" (in en-US). https://social.techcrunch.com/2021/11/04/isomorphic-labs-is-alphabets-play-in-ai-drug-discovery/. 
  10. ↑ Bonifacic, Igor (2021-11-04). "Alphabet's Isomorphic Labs is a new company focused on AI-driven drug discovery". https://www.msn.com/en-us/news/technology/alphabets-isomorphic-labs-is-a-new-company-focused-on-ai-driven-drug-discovery/ar-AAQkxkn. 
  11. ↑ 11.0 11.1 "World-leading expert Demis Hassabis to advise new Government Office for Artificial Intelligence" (in en). https://www.gov.uk/government/news/world-leading-expert-demis-hassabis-to-advise-new-government-office-for-artificial-intelligence. 
  12. ↑ Ahmed, Murad (30 January 2015). "Lunch with the FT: Demis Hassabis". Financial Times. http://www.ft.com/cms/s/2/47aa9aa4-a7a5-11e4-be63-00144feab7de.html#axzz3jgbWctw6. 
  13. ↑ "Demis Hassabis, PhD Biography and Interview". American Academy of Achievement. https://www.achievement.org/achiever/demis-hassabis-ph-d/#interview. 
  14. ↑ 14.0 14.1 14.2 14.3 14.4 Hassabis, Demis (5 December 2020). "BBC Radio 4 Profiles, 7pm 5 December 2020". https://www.bbc.co.uk/programmes/m000q3nq. 
  15. ↑ 15.0 15.1 15.2 15.3 15.4 Gibbs, Samuel (28 January 2014). "Demis Hassabis: 15 facts about the DeepMind Technologies founder". The Guardian. https://www.theguardian.com/technology/shortcuts/2014/jan/28/demis-hassabis-15-facts-deepmind-technologies-founder-google. 
  16. ↑ 1995 Varsity Chess Match, Oxford v Cambridge - http://www.saund.co.uk/britbase/pgn/199503vars-viewer.html - BritBase
  17. ↑ 1996 Varsity Chess Match, Oxford v Cambridge - http://www.saund.co.uk/britbase/pgn/199603vars-viewer.html - BritBase
  18. ↑ 1997 Varsity Chess Match, Oxford v Cambridge - http://www.saund.co.uk/britbase/pgn/199703vars-viewer.html - BritBase
  19. ↑ "Time 100 AI 2023 - Demis Hassabis". TIME (Time (magazine)). https://time.com/collection/time100-ai/6309001/demis-hassabis-ai/. Retrieved September 7, 2023. 
  20. ↑ "Demis Hassabis on Desert Island Discs". BBC. http://www.bbc.co.uk/programmes/b08qy1sl. 
  21. ↑ 21.0 21.1 Hassabis, Demis (2014). "Demis Hassabis Personal Website". http://demishassabis.com/biography/. 
  22. ↑ Hermida, Alfred (3 September 2003). "Game plays politics with your PC". BBC News. http://news.bbc.co.uk/1/hi/technology/3201221.stm. 
  23. ↑ "Republic: The Revolution". https://www.metacritic.com/game/republic-the-revolution/critic-reviews/?platform=pc. 
  24. ↑ "Evil Genius". https://www.metacritic.com/game/evil-genius/critic-reviews/?platform=pc. 
  25. ↑ Remo, Chris (14 July 2009). "Rebellion Acquires Vivendi Licenses, Considers New Franchise Titles". Gamasutra. http://www.gamasutra.com/view/news/24429/Rebellion_Acquires_Vivendi_Licenses_Considers_New_Franchise_Titles.php. 
  26. ↑ "Elixir Studios". IGN. https://www.ign.com/companies/elixir-studios. 
  27. ↑ "Turing centenary: Is the brain a good model for machine intelligence?". Nature 482 (7386): 462–463. 2012. doi:10.1038/482462a. ISSN 0028-0836. PMID 22358812. Bibcode: 2012Natur.482..462.. http://www.gatsby.ucl.ac.uk/~demis/TuringSpecialIssue%28Nature2012%29.pdf. 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". https://www.businessinsider.com/the-incredible-life-of-deepmind-cofounder-demis-hassabis-2017-5/#hassabis-was-born-in-london-july-27-1976-to-a-greek-cypriot-father-and-a-chinese-singaporean-mother-1. 
  29. ↑ Hassabis, D.; Kumaran, D.; Vann, S. D.; Maguire, E. A. (2007). "Patients with hippocampal amnesia cannot imagine new experiences". Proceedings of the National Academy of Sciences 104 (5): 1726–31. doi:10.1073/pnas.0610561104. PMID 17229836. PMC 1773058. Bibcode: 2007PNAS..104.1726H. http://www.gatsby.ucl.ac.uk/~demis/PatientsCannotImagine%28PNAS07%29.pdf. 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. 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. 
  32. ↑ Carey, Benedict (23 January 2007). "Amnesiacs May Be Cut Off From Past and Future Alike". The New York Times. https://www.nytimes.com/2007/01/23/health/psychology/23amne.html. 
  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. (2009-05-12). "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. PMID 19528007. 
  35. ↑ Schacter, Daniel L.; Addis, Donna Rose; Hassabis, Demis; Martin, Victoria C.; Spreng, R. Nathan; Szpunar, Karl K. (2012-11-21). "The Future of Memory: Remembering, Imagining, and the Brain" (in en). Neuron 76 (4): 677–694. doi:10.1016/j.neuron.2012.11.001. ISSN 0896-6273. PMID 23177955. 
  36. ↑ Rowan, David (22 June 2015). "DeepMind: Inside Google's Super Brain". Wired. https://www.wired.co.uk/article/deepmind. Retrieved 26 August 2017. 
  37. ↑ Metz, Cade (19 May 2016). "What the AI Behind AlphaGo Can Teach Us About Being Human". Wired. https://www.wired.com/2016/05/google-alpha-go-ai/. Retrieved 6 March 2017. 
  38. ↑ Simonite, Tom (31 March 2016). "How Google Plans to Solve Artificial Intelligence". MIT Technology Review. https://www.technologyreview.com/s/601139/how-google-plans-to-solve-artificial-intelligence/. Retrieved 30 July 2016. 
  39. ↑ Simonite, Tom (25 February 2015). "Google's AI Masters Space Invaders But Still Sucks at Pacman". MIT Technology Review. https://www.technologyreview.com/s/535446/googles-ai-masters-space-invaders-but-it-still-stinks-at-pac-man/. Retrieved 30 July 2016. 
  40. ↑ "DeepMind Technologies". Angel. 26 January 2015. https://angel.co/deepmind-technologies/. 
  41. ↑ Gannes, Liz (26 January 2014). "Exclusive: Google to Buy Artificial Intelligence Startup DeepMind for $400m". Recode. http://www.recode.net/2014/1/26/11622732/exclusive-google-to-buy-artificial-intelligence-startup-deepmind-for/. 
  42. ↑ "Google to Buy Artificial Intelligence Company DeepMind". Reuters. 26 January 2015. https://www.reuters.com/article/google-deepmind-idUSL2N0L102A20140127/. 
  43. ↑ Lomas, Natasha (19 September 2019). "Google completes controversial takeover of DeepMind Health". TechCrunch. https://techcrunch.com/2019/09/19/google-completes-controversial-takeover-of-deepmind-health/. 
  44. ↑ Koch, Christof (19 March 2016). "How the Computer Beat the Go Master" (in en). Scientific American. https://www.scientificamerican.com/article/how-the-computer-beat-the-go-master/. 
  45. ↑ Hassabis, Demis (21 April 2017). "The mind in the machine: Demis Hassabis on artificial intelligence". Financial Times. https://www.ft.com/content/048f418c-2487-11e7-a34a-538b4cb30025. 
  46. ↑ Metz, Cade (27 January 2016). "In a Huge Breakthrough, Google's AI Beats a Top Player at the Game of Go". Wired. https://www.wired.com/2016/01/in-a-huge-breakthrough-googles-ai-beats-a-top-player-at-the-game-of-go/. Retrieved 6 March 2017. 
  47. ↑ Yan, Sophia (12 March 2016). "A Google Computer Victorious Over the World's Go Champion". CNN Money. https://money.cnn.com/2016/03/12/technology/google-deepmind-alphago-wins/. 
  48. ↑ "Google's Secretive DeepMind Startup Unveils a Neural Turing Machine". MIT Technology Review. 29 October 2014. https://www.technologyreview.com/s/532156/googles-secretive-deepmind-startup-unveils-a-neural-turing-machine/. Retrieved 30 July 2016. 
  49. ↑ "DeepMind AI Reduces Google Data Centre Cooling Bill by 40%". 20 July 2016. https://deepmind.com/blog/article/deepmind-ai-reduces-google-data-centre-cooling-bill-40. 
  50. ↑ "Google Developing Kill Switch for AI". BBC News. 8 June 2016. https://www.bbc.com/news/technology-36472140. 
  51. ↑ Cuthbertson, Anthony (8 June 2016). "Google's Big Red Button Could Save the World". Newsweek. http://europe.newsweek.com/google-big-red-button-ai-artificial-intelligence-save-world-elon-musk-466753?rm=eu. Retrieved 30 July 2016. 
  52. ↑ Hern, Alex (5 July 2016). "Google DeepMind pairs with NHS to use machine learning to fight blindness". The Guardian. https://www.theguardian.com/technology/2016/jul/05/google-deepmind-nhs-machine-learning-blindness. 
  53. ↑ Sample, Ian (2 December 2018). "Google's DeepMind predicts 3D shapes of proteins" (in en). https://www.theguardian.com/science/2018/dec/02/google-deepminds-ai-program-alphafold-predicts-3d-shapes-of-proteins. 
  54. ↑ "AlphaFold: a solution to a 50-year-old grand challenge in biology". 30 November 2020. https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology. 
  55. ↑ Briggs, Helen (30 November 2020). "One of biology's biggest mysteries 'largely solved' by AI" (in en). https://www.bbc.com/news/science-environment-55133972. 
  56. ↑ Silver, David (17 June 2016). "Deep Reinforcement Learning". DeepMind Blog. https://www.deepmind.com/blog/deep-reinforcement-learning. 
  57. ↑ "Whether AI will be good or bad, depends on how society uses it: Demis Hassabis, CEO, DeepMind". The Economic Times. 10 March 2018. https://economictimes.indiatimes.com/magazines/panache/whether-ai-will-be-good-or-bad-depends-on-how-society-uses-it-demis-hassabis-ceo-deep-mind/articleshow/63241265.cms. 
  58. ↑ "Statement on AI Risk | CAIS". https://www.safe.ai/statement-on-ai-risk. 
  59. ↑ Knight, Will. "Google DeepMind CEO Demis Hassabis Says Its Next Algorithm Will Eclipse ChatGPT" (in en-US). Wired. ISSN 1059-1028. https://www.wired.com/story/google-deepmind-demis-hassabis-chatgpt/. Retrieved 2023-06-29. 
  60. ↑ Burton-Hill, Clemency (16 February 2016). "The superhero of artificial intelligence: can this genius keep it in check?". The Observer. https://www.theguardian.com/technology/2016/feb/16/demis-hassabis-artificial-intelligence-deepmind-alphago. 
  61. ↑ Ahmed, Murad (30 January 2015). "Lunch with the FT: Demis Hassabis". Financial Times. https://www.ft.com/content/47aa9aa4-a7a5-11e4-be63-00144feab7de. 
  62. ↑ "Exclusive interview: meet Demis Hassabis, London's megamind who just sold his company to Google for £400m" (in en). Evening Standard. 7 February 2014. https://www.standard.co.uk/lifestyle/london-life/exclusive-interview-meet-demis-hassabis-london-s-megamind-who-just-sold-his-company-to-google-for-ps400m-9098707.html. 
  63. ↑ Albert Lasker Award for Basic Medical Research 2023
  64. ↑ Canada Gairdner International Award 2023
  65. ↑ "Breakthrough Prizes 2023". https://breakthroughprize.org/News/73. 
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  67. ↑ BBVA Foundation Frontiers of Knowledge Award 2022
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