- Wikipedia

{"parse":{"title":"Demis Hassabis","pageid":3259263,"text":{"*":"

\n\n

Sir Demis Hassabis CBE FRS FREng FRSA
Hassabis in 2024
Born	(1976-07-27) 27 July 1976 (age 48)^[4] London, England^[4]
Alma mater	\n University of Cambridge (MA)^[5] \n University College London (PhD) \n
Known for	\n DeepMind \n AlphaGo \n AlphaFold \n
Awards	\n The Asian Awards (2017) \n Dan David Prize (2020) \n BBVA Foundation Frontiers of Knowledge Award (2022) \n Albert Lasker Award for Basic Medical Research (2023) \n Breakthrough Prize in Life Sciences (2023) \n Canada Gairdner International Award (2023) \n Nobel Prize in Chemistry (2024) \n
Scientific career
Fields	\n Neuroscience \n Computer science \n Artificial intelligence^[1] \n
Institutions	\n Bullfrog Productions (1993\u20131994) \n Lionhead Studios (1997\u20131998) \n Elixir Studios (1998\u20132005) \n University College London (2009\u20132012)^[2] \n DeepMind (2010\u2013present) \n Isomorphic Labs (2021\u2013present) \n
Thesis	Neural processes underpinning episodic memory (2009)
Doctoral advisor	Eleanor Maguire^[3]
\n
Chess career\n
Country	England
Title	Candidate Master
Years active	1988\u20132019^[6]
FIDE rating	2220 (March 2019)
Peak rating	2300 (January 1990)^[7]
\n

Sir Demis Hassabis (born 27 July 1976) is a British artificial intelligence (AI) researcher, and entrepreneur. He is the chief executive officer and co-founder of Google DeepMind,^[8] and Isomorphic Labs,^[9]^[10]^[11] and a UK Government AI Adviser.^[12] In 2024, Hassabis and John M. Jumper were jointly awarded the Nobel Prize in Chemistry for their AI research contributions for protein structure prediction.^[13]^[14]\n

Hassabis is a Fellow of the Royal Society, and has won many prestigious awards for his research work 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. In 2024 he was knighted for services to AI.^[15]\n

\n\n

Early life and education

[edit]

Hassabis was born to a Greek Cypriot father^[16] and a Singaporean mother^[17] and grew up in North London.^[18]^[19] In his early career, he was a video game AI programmer and designer, and an expert board games player.^[18]^[20]^[21] A child prodigy in chess from the age of four,^[22]^[23] Hassabis reached master standard at the age of 13 with an Elo rating of 2300 and captained many of the England junior chess teams.^[24] He represented the University of Cambridge in the Oxford\u2013Cambridge varsity chess matches of 1995,^[25] 1996^[26] and 1997,^[27] winning a half blue.\n

Between 1988 and 1990, Hassabis was educated at Queen Elizabeth's School, Barnet, a boys' grammar school in North London. 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.^[23] He wrote its first AI program on a Commodore Amiga based on the reversi board game. ^[28] He then studied at the comprehensive school Christ's College, Finchley.^[18] He completed his A-level exams two years early at 16.^[29]^[30]\n

Bullfrog Productions

[edit]

Asked by Cambridge University to take a gap year due to his young age,^[23] Hassabis began his computer games career at Bullfrog Productions after entering an Amiga Power \"Win-a-job-at-Bullfrog\" competition.^[31] He began first by level designing on Syndicate, and then at 17 co-designing and lead programming on the 1994 game Theme Park, with the game's designer Peter Molyneux.^[32] Theme Park, a simulation video game, sold several million copies^[24] and inspired a whole genre of simulation sandbox games. He earned enough from his gap year to pay his own way through university.^[23]\n

University of Cambridge

[edit]

Hassabis left Bullfrog to study at Queens' College, Cambridge, where he completed the Computer Science Tripos and graduated in 1997 with a double first.^[24]\n

Career and research

[edit]

Lionhead

[edit]

After graduating from Cambridge, Hassabis worked at Lionhead Studios.^[33] 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.^[24]\n

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.^[34] In addition to managing the company, Hassabis served as executive designer of the games Republic: The Revolution and Evil Genius.^[24] Each received BAFTA Nominations for their interactive music scores, created by James Hannigan.\n

The release of Elixir's first game, Republic: The Revolution, a highly ambitious and unusual political simulation game,^[35] 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.^[36] Evil Genius, a tongue-in-cheek Bond villain simulator, fared much better with a score of 75/100.^[37] In April 2005 the intellectual property and technology rights were sold to various publishers and the studio was closed.^[38]^[39]\n

Neuroscience research at University College London

[edit]

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.^[3] He sought to find inspiration in the human brain for new AI algorithms.^[40]\n

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,^[18] before earning a Henry Wellcome postdoctoral research fellowship to the Gatsby Computational Neuroscience Unit at UCL in 2009 working with Peter Dayan.^[41]\n

Working in the field of imagination, memory, and amnesia, he co-authored several influential papers published in Nature, Science, Neuron, and PNAS.^[1] His very first academic work, published in PNAS,^[42] 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,^[43] 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.^[44] This work received widespread coverage in the mainstream media^[45] and was listed in the top 10 scientific breakthroughs of the year by the journal Science.^[46] 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.^[47]^[48]\n

DeepMind

[edit]

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.^[49] Hassabis also recruited his university friend and Elixir partner David Silver.^[50]\n

DeepMind's mission is to \"solve intelligence\" and then use intelligence \"to solve everything else\".^[51] 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.^[52]\n

DeepMind's early investors included several high-profile tech entrepreneurs.^[53]^[54] In 2014, Google purchased DeepMind for \u00a3400 million. Although most of the company has remained an independent entity based in London,^[55] DeepMind Health has since been directly incorporated into Google Health.^[56]\n

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.^[57]^[58] However, AlphaGo beat European champion Fan Hui 5\u20130 in October 2015 before winning 4\u20131 against former world champion Lee Sedol in March 2016.^[59]^[60] Additional DeepMind accomplishments include creating a neural Turing machine,^[61] reducing the energy used by the cooling systems in Google's data centers by 40%,^[62] advancing research on AI safety,^[63]^[64] 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.^[65]\n

DeepMind has also been responsible for technical advances 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.^[66] Hassabis has predicted that artificial intelligence will be \"one of the most beneficial technologies of mankind ever\" but that significant ethical issues remain.^[67]\n

Hassabis has also warned of the potential dangers and risks of AI if misused, and has been a strong advocate of further AI safety research being needed.^[68] In 2023, he 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\".^[69] 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.^[70]\n

AlphaFold

[edit]

In 2016, 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. Knowing the structure of a protein can be very helpful in drug discovery and disease understanding. 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.^[71]\n

In November 2020, DeepMind again announced world-beating results in the CASP14 edition of the competition with AlphaFold 2, a new version of the system. It achieved 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 (<1 Angstrom), making it competitive with experimental methods, and leading the organisers of CASP to declare the problem essentially solved.^[72]^[73] Over the next year DeepMind used AlphaFold2 to fold all 200 million proteins known to science, and made the system and these structures openly and freely available for anyone to use via the AlphaFold Protein Structure Database developed in collaboration with EMBL-EBI.^[74] \n

Personal life

[edit]

Hassabis is married to an Italian molecular biologist with whom he has two sons. He resides in North London with his family.^[75]^[76]^[77] He is also a lifelong fan of Liverpool FC.^[23] Hassabis is the main subject of the documentary called The Thinking Game, which premiered in 2024's Tribeca Festival, from the same filmmaker as the award-winning documentary AlphaGo (2016).^[78] \n

Awards and honours

[edit]

Entrepreneurial and scientific

[edit]

2024 \u2013 Nobel Prize in Chemistry^[14]
2024 \u2013 Clarivate Citation Laureates^[79]
2024 \u2013 Keio Medical Science Prize^[80]
2024 \u2013 The AI Citizen of the Year^[81]
2024 \u2013 Included in the Time 100 AI list^[82]
2024 \u2013 Honorary degree, University of Oxford^[83]
2024 \u2013 Knight Bachelor for \"services to artificial intelligence\"^[84]
2023 \u2013 BCS Lovelace Medal^[85]
2023 \u2013 UCL Prize Lecture in Life and Medical Sciences^[86]
2023 \u2013 Albert Lasker Award for Basic Medical Research^[87]
2023 \u2013 Honorary degree, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne^[88]
2023 \u2013 Member of the Academia Europaea^[89]
2023 \u2013 Canada Gairdner International Award^[90]
2023 \u2013 Ordinary Member of Pontifical Academy of Sciences^[91]
2023 \u2013 Breakthrough Prize in Life Sciences for developing AlphaFold, which accurately predicts the structure of protein^[92]
2022 \u2013 VinFuture Prize for Innovators with Outstanding Achievements in Emerging Fields^[93]
2022 \u2013 Global Swiss AI Award^[94]
2022 \u2013 BBVA Foundation Frontiers of Knowledge Award in the category \"Biology and Biomedicine\"^[95]
2022 \u2013 Princess of Asturias Award (with Yoshua Bengio, Geoffrey Hinton, and Yann LeCun) for Technical and Scientific Research^[96]
2022 \u2013 Wiley Prize in Biomedical Sciences^[97]
2021 \u2013 IRI Medal, established by the Industrial Research Institute (IRI)^[98]
2021 \u2013 International Honorary Member of the American Academy of Arts and Sciences^[99]
2020 \u2013 Pius XI Medal from the Pontifical Academy of Sciences
2020 \u2013 The 50 most influential people in Britain from British GQ magazine^[100]
2020 \u2013 Dan David Prize \u2013 Future Award^[101]
2019 \u2013 Winner of UKtech50 (the 50 most influential people in UK technology) from Computer Weekly^[102]
2018 \u2013 Elected a Fellow of the Royal Society (FRS) in May^[103]^[104]
2018 \u2013 Adviser to the UK's Government Office for Artificial Intelligence^[12]
2018 \u2013 Honorary doctorate, Imperial College London^[105]
2017 \u2013 Appointed Commander of the Order of the British Empire (CBE) in the 2018 New Year Honours for \"services to Science and Technology\".^[106]^[107]
2017 \u2013 Time 100: The 100 Most Influential People^[108]
2017 \u2013 The Asian Awards: Outstanding Achievement in Science and Technology^[109]
2017 \u2013 Elected a Fellow of the Royal Academy of Engineering (FREng)^[110]
2017 \u2013 American Academy of Achievement: Golden Plate Award^[111]^[112]
2016 \u2013 Honorary Fellow, University College London^[113]
2016 \u2013 London Evening Standard list of influential Londoners, number 6^[114]
2016 \u2013 Royal Academy of Engineering Silver Medal^[115]
2016 \u2013 WIRED Leadership in Innovation^[116]
2016 \u2013 Nature's 10: the 10 most influential (good or bad) scientists of the year^[117]^[118]
2016 \u2013 Financial Times Digital Entrepreneur of the Year^[119]
2015 \u2013 Financial Times top 50 Entrepreneurs in Europe^[120]
2015 \u2013 Fellow Benefactor, Queens' College, Cambridge^[121]
2014 \u2013 Third most influential Londoner according to the London Evening Standard^[122]
2014 \u2013 Mullard Award of the Royal Society^[123]
2013 \u2013 Listed on WIRED's 'Smart 50'^[124]
2009 \u2013 Fellow of the Royal Society of Arts (FRSA)^[125]

Research

[edit]

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

2021 Breakthrough of the Year (Winner) \u2013 for AlphaFold v2^[126]
2020 Breakthrough of the Year (Top 10) \u2013 for AlphaFold v1^[127]
2016 Breakthrough of the Year (Top 10) \u2013 for AlphaGo^[128]
2007 Breakthrough of the Year (Top 10) \u2013 for neuroscience research on imagination^[129]

DeepMind

[edit]

Cambridge Computer Laboratory Company of the Year (2014)^[130]
Seven Nature front cover articles (2015,^[131] 2016,^[132] 2019,^[133] 2020,^[134] two in 2021,^[135]^[136] and 2024^[137]) and one Science front cover article (2017^[138])
Honorary 9-dan Go rank for AlphaGo from Korea Baduk Association (2016),^[139] Chinese Weiqi Association (2017),^[140] and Japan Go Association (2024)^[141]
Cannes Lion Grand Prix for AlphaGo (2016)^[142]
WIRED Innovation in AI Award (2016)^[116]
City A.M. Innovative Company of the Year (2016)^[143]

Games

[edit]

Hassabis is a five-times winner of the all-round world board games championship (the Pentamind), and an expert player of many games including:^[34]\n

Chess: achieved Master standard at age 13 with an Elo rating of 2300 (at the time the second-highest in the world for his age after Judit Polg\u00e1r)^[144]
Diplomacy: World Team Champion in 2004, 4th in 2006 World Championship^[145]
Poker: cashed at the World Series of Poker six times including in the Main Event^[146]
Multi-games events at the London Mind Sports Olympiad: World Pentamind Champion (five times: 1998, 1999, 2000, 2001, 2003)^[147] and World Decamentathlon Champion (twice: 2003, 2004)

References

[edit]

^ ^a ^b Demis Hassabis publications indexed by Google Scholar $\"Edit$ \n
^ \"The Greater Gatsby\". Gatsby Computational Neuroscience Unit. 5 August 2020. Retrieved 22 September 2024.\n
^ ^a ^b 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. $\"Free$ \n
^ ^a ^b \"Demis Hassabis, Ph.D.\"\n
^ \"College Notices \u2013 Cambridge University Reporter 6510\". www.admin.cam.ac.uk. Retrieved 10 October 2024.\n
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^ Felice, Gino Di (16 January 2018). Chess International Titleholders, 1950-2016. McFarland. p. 127. ISBN 978-1-4766-3361-9. Retrieved 20 October 2024.\n
^ Anon (2017). \"Demis HASSABIS\". companieshouse.gov.uk. London: Companies House. Archived from the original on 27 April 2017. Retrieved 26 April 2017.\n
^ 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.\n
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^ ^a ^b \"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.\n
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^ ^a ^b ^c ^d ^e 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.\n
^ ^a ^b ^c ^d ^e 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.\n
^ 1995 Varsity Chess Match, Oxford v Cambridge \u2013 http://www.saund.co.uk/britbase/pgn/199503vars-viewer.html Archived 10 January 2018 at the Wayback Machine \u2013 BritBase\n
^ 1996 Varsity Chess Match, Oxford v Cambridge \u2013 http://www.saund.co.uk/britbase/pgn/199603vars-viewer.html Archived 10 January 2018 at the Wayback Machine \u2013 BritBase\n
^ 1997 Varsity Chess Match, Oxford v Cambridge \u2013 http://www.saund.co.uk/britbase/pgn/199703vars-viewer.html Archived 10 January 2018 at the Wayback Machine \u2013 BritBase\n
^ \"Amiga-news.de \u2013 Video interview with DeepMind founder: First AI program on Amiga\".\n
^ Gibbs, Samuel (28 January 2014). \"Demis Hassabis: 15 facts about the DeepMind Technologies founder\". The Guardian. ISSN 0261-3077. Retrieved 22 September 2024.\n
^ \"Azeem's Picks: Demis Hassabis on DeepMind's Journey from Games to Fundamental Science\". Harvard Business Review. 5 May 2023. ISSN 0017-8012. Retrieved 22 September 2024. I finished A Levels at 16, so I had quite a lot of time between then and going to Cambridge.\n
^ Amiga Power N\u00b016, August 1992, PP65-67 https://amr.abime.net/issue_16_pages\n
^ \"Time 100 AI 2023 \u2013 Demis Hassabis\". TIME. Time. Retrieved 7 September 2023.\n
^ \"Demis Hassabis on Desert Island Discs\". Desert Island Discs. BBC. Archived from the original on 14 January 2018. Retrieved 18 February 2018.\n
^ ^a ^b Hassabis, Demis (2014). \"Demis Hassabis Personal Website\". demishassabis.com. Archived from the original on 26 April 2015. Retrieved 30 July 2016.\n
^ 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.\n
^ \"Republic: The Revolution\". Metacritic. Archived from the original on 7 February 2017. Retrieved 30 July 2016.\n
^ \"Evil Genius\". Metacritic. Archived from the original on 12 August 2016. Retrieved 30 July 2016.\n
^ 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.\n
^ \"Elixir Studios\". IGN. Archived from the original on 13 October 2012.\n
^ 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\u2013463. 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.\n
^ Shead, Sam (21 May 2017). \"The incredible life of DeepMind founder Demis Hassabis, the computer whiz who sold his AI lab to Google for \u00a3400 million\". Business Insider. Archived from the original on 25 December 2017. Retrieved 22 December 2017.\n
^ 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\u201331. 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.\n
^ 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\u201314374. doi:10.1523/JNEUROSCI.4549-07.2007. PMC 2571957. PMID 18160644.\n
^ Hassabis, D.; Maguire, E. A. (2007). \"Deconstructing episodic memory with construction\". Trends in Cognitive Sciences. 11 (7): 299\u2013306. doi:10.1016/j.tics.2007.05.001. PMID 17548229. S2CID 13939288.\n
^ 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.\n
^ The News Staff (2007). \"BREAKTHROUGH OF THE YEAR: The Runners-up\". Science. 318 (5858): 1844a\u2013. doi:10.1126/science.318.5858.1844a. PMID 18096772.\n
^ 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\u20131271. doi:10.1098/rstb.2008.0296. ISSN 0962-8436. PMC 2666702. PMID 19528007.\n
^ 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\u2013694. doi:10.1016/j.neuron.2012.11.001. ISSN 0896-6273. PMC 3815616. PMID 23177955.\n
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^ Silver, David (17 June 2016). \"Deep Reinforcement Learning\". DeepMind Blog. Retrieved 30 July 2016.\n
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External links

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Wikimedia Commons has media related to Demis Hassabis.

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Scholia has a profile for Demis Hassabis (Q3022141).

Demis Hassabis rating card at FIDE

v t e Fellows of the Royal Society elected in 2018
Fellows	\n Jim Al-Khalili \n Polly Arnold \n Jillian Banfield \n Margaret Brimble \n Neil Brockdorff \n Frank Caruso \n Vincenzo Cerundolo \n Kevin Costello \n Robert Crabtree \n Philip Dawid \n Peter Dayan \n Richard Dixon \n Gregory Edgecombe \n Wenfei Fan \n Roger Goody \n Robin Grimes \n Gregory Hannon \n Demis Hassabis \n Judy Hirst \n Graeme Jameson \n Harren Jhoti \n Sophien Kamoun \n Andrew King \n Dimitri Kullmann \n Dominic Kwiatkowski \n Richard Marais \n Cathie Martin \n Elon Musk \n Peter O'Hearn \n Vassilis Pachnis \n Tracy Palmer \n Colin Prentice \n Lalita Ramakrishnan \n Nancy Reid \n Graham Richards \n David Richardson \n Sheila Rowan \n Ingrid Scheffer \n Michelle Simmons \n John Smol \n Timothy Softley \n John Speakman \n Graeme Stephens \n Angela Strank \n Charles Swanton \n Peter Visscher \n Guy Wilkinson \n Geordie Williamson \n Daniel Wise \n Nikolay Zheludev \n
Honorary	\n David Willetts (Baron Willetts of Havant) \n
Foreign	\n Carolyn Bertozzi \n Martin Chalfie \n Sebsebe Demissew \n Jeffrey Friedman \n Fabiola Gianotti \n Albrecht Hofmann \n Butler Lampson \n Tullio Pozzan \n Joachim Sauer \n Adi Shamir \n

v t e Laureates of the Nobel Prize in Chemistry
1901\u20131925	\n 1901: Jacobus van 't Hoff \n 1902: Emil Fischer \n 1903: Svante Arrhenius \n 1904: William Ramsay \n 1905: Adolf von Baeyer \n 1906: Henri Moissan \n 1907: Eduard Buchner \n 1908: Ernest Rutherford \n 1909: Wilhelm Ostwald \n 1910: Otto Wallach \n 1911: Marie Curie \n 1912: Victor Grignard / Paul Sabatier \n 1913: Alfred Werner \n 1914: Theodore Richards \n 1915: Richard Willst\u00e4tter \n 1916 \n 1917 \n 1918: Fritz Haber \n 1919 \n 1920: Walther Nernst \n 1921: Frederick Soddy \n 1922: Francis Aston \n 1923: Fritz Pregl \n 1924 \n 1925: Richard Zsigmondy \n	$\"\"$
1926\u20131950	\n 1926: Theodor Svedberg \n 1927: Heinrich Wieland \n 1928: Adolf Windaus \n 1929: Arthur Harden / Hans von Euler-Chelpin \n 1930: Hans Fischer \n 1931: Carl Bosch / Friedrich Bergius \n 1932: Irving Langmuir \n 1933 \n 1934: Harold Urey \n 1935: Fr\u00e9d\u00e9ric Joliot-Curie / Ir\u00e8ne Joliot-Curie \n 1936: Peter Debye \n 1937: Norman Haworth / Paul Karrer \n 1938: Richard Kuhn \n 1939: Adolf Butenandt / Leopold Ru\u017ei\u010dka \n 1940 \n 1941 \n 1942 \n 1943: George de Hevesy \n 1944: Otto Hahn \n 1945: Artturi Virtanen \n 1946: James B. Sumner / John Northrop / Wendell Meredith Stanley \n 1947: Robert Robinson \n 1948: Arne Tiselius \n 1949: William Giauque \n 1950: Otto Diels / Kurt Alder \n
1951\u20131975	\n 1951: Edwin McMillan / Glenn T. Seaborg \n 1952: Archer Martin / Richard Synge \n 1953: Hermann Staudinger \n 1954: Linus Pauling \n 1955: Vincent du Vigneaud \n 1956: Cyril Hinshelwood / Nikolay Semyonov \n 1957: Alexander Todd \n 1958: Frederick Sanger \n 1959: Jaroslav Heyrovsk\u00fd \n 1960: Willard Libby \n 1961: Melvin Calvin \n 1962: Max Perutz / John Kendrew \n 1963: Karl Ziegler / Giulio Natta \n 1964: Dorothy Hodgkin \n 1965: Robert Woodward \n 1966: Robert S. Mulliken \n 1967: Manfred Eigen / Ronald Norrish / George Porter \n 1968: Lars Onsager \n 1969: Derek Barton / Odd Hassel \n 1970: Luis Federico Leloir \n 1971: Gerhard Herzberg \n 1972: Christian B. Anfinsen / Stanford Moore / William Stein \n 1973: Ernst Otto Fischer / Geoffrey Wilkinson \n 1974: Paul Flory \n 1975: John Cornforth / Vladimir Prelog \n
1976\u20132000	\n 1976: William Lipscomb \n 1977: Ilya Prigogine \n 1978: Peter D. Mitchell \n 1979: Herbert C. Brown / Georg Wittig \n 1980: Paul Berg / Walter Gilbert / Frederick Sanger \n 1981: Kenichi Fukui / Roald Hoffmann \n 1982: Aaron Klug \n 1983: Henry Taube \n 1984: Robert Merrifield \n 1985: Herbert A. Hauptman / Jerome Karle \n 1986: Dudley R. Herschbach / Yuan T. Lee / John Polanyi \n 1987: Donald J. Cram / Jean-Marie Lehn / Charles J. Pedersen \n 1988: Johann Deisenhofer / Robert Huber / Hartmut Michel \n 1989: Sidney Altman / Thomas Cech \n 1990: Elias Corey \n 1991: Richard R. Ernst \n 1992: Rudolph A. Marcus \n 1993: Kary Mullis / Michael Smith \n 1994: George Olah \n 1995: Paul J. Crutzen / Mario Molina / F. Sherwood Rowland \n 1996: Robert Curl / Harold Kroto / Richard Smalley \n 1997: Paul D. Boyer / John E. Walker / Jens Christian Skou \n 1998: Walter Kohn / John Pople \n 1999: Ahmed Zewail \n 2000: Alan J. Heeger / Alan MacDiarmid / Hideki Shirakawa \n
2001\u2013present	\n 2001: William Knowles / Ryoji Noyori / K. Barry Sharpless \n 2002: John B. Fenn / Koichi Tanaka / Kurt W\u00fcthrich \n 2003: Peter Agre / Roderick MacKinnon \n 2004: Aaron Ciechanover / Avram Hershko / Irwin Rose \n 2005: Robert H. Grubbs / Richard R. Schrock / Yves Chauvin \n 2006: Roger D. Kornberg \n 2007: Gerhard Ertl \n 2008: Osamu Shimomura / Martin Chalfie / Roger Y. Tsien \n 2009: Venkatraman Ramakrishnan / Thomas A. Steitz / Ada E. Yonath \n 2010: Richard F. Heck / Akira Suzuki / Ei-ichi Negishi \n 2011: Dan Shechtman \n 2012: Robert Lefkowitz / Brian Kobilka \n 2013: Martin Karplus / Michael Levitt / Arieh Warshel \n 2014: Eric Betzig / Stefan Hell / William E. Moerner \n 2015: Tomas Lindahl / Paul L. Modrich / Aziz Sancar \n 2016: Jean-Pierre Sauvage / Fraser Stoddart / Ben Feringa \n 2017: Jacques Dubochet / Joachim Frank / Richard Henderson \n 2018: Frances Arnold / Gregory Winter / George Smith \n 2019: John B. Goodenough / M. Stanley Whittingham / Akira Yoshino \n 2020: Emmanuelle Charpentier / Jennifer Doudna \n 2021: David MacMillan / Benjamin List \n 2022: Carolyn R. Bertozzi / Morten P. Meldal / Karl Barry Sharpless \n 2023: Moungi G. Bawendi / Louis E. Brus / Alexei I. Ekimov \n 2024: David Baker / Demis Hassabis / John M. Jumper \n

v t e 2024 Nobel Prize laureates
Chemistry	\n David Baker (United States) \n Demis Hassabis (United Kingdom) \n John M. Jumper (United States) \n
Literature (2024)	\n Han Kang (South Korea) \n
Peace (2024)	Nihon Hidankyo (Japan)
Physics	\n Geoffrey Hinton (Canada/United Kingdom) \n John Hopfield (United States) \n
Physiology or Medicine	\n Victor Ambros (United States) \n Gary Ruvkun (United States) \n
Economic Sciences	\n Daron Acemoglu (Turkey/United States) \n Simon Johnson (United Kingdom/United States) \n James A. Robinson (United Kingdom/United States) \n
\n Nobel Prize recipients \n 2019 \n 2020 \n 2021 \n 2022 \n 2023 \n 2024 \n 2025 \n

Laureates of the Prince or Princess of Asturias Award for Technical and Scientific Research

Prince of Asturias Award for Technical and Scientific Research

1981: Alberto Sols
1982: Manuel Ballester
1983: Luis Antonio Santal\u00f3 Sors
1984: Antonio Garcia-Bellido
1985: David V\u00e1zquez Mart\u00ednez and Emilio Rosenblueth
1986: Antonio Gonz\u00e1lez Gonz\u00e1lez
1987: Jacinto Convit and Pablo Rudom\u00edn
1988: Manuel Cardona and Marcos Moshinsky
1989: Guido M\u00fcnch
1990: Santiago Grisol\u00eda and Salvador Moncada
1991: Francisco Bol\u00edvar Zapata
1992: Federico Garc\u00eda Moliner
1993: Amable Li\u00f1\u00e1n
1994: Manuel Patarroyo
1995: Manuel Losada Villasante and Instituto Nacional de Biodiversidad of Costa Rica
1996: Valent\u00edn Fuster
1997: Atapuerca research team
1998: Emilio M\u00e9ndez P\u00e9rez and Pedro Miguel Echenique Landir\u00edbar
1999: Ricardo Miledi and Enrique Moreno Gonz\u00e1lez
2000: Robert Gallo and Luc Montagnier
2001: Craig Venter, John Sulston, Francis Collins, Hamilton Smith, and Jean Weissenbach
2002: Lawrence Roberts, Robert E. Kahn, Vinton Cerf, and Tim Berners-Lee
2003: Jane Goodall
2004: Judah Folkman, Tony Hunter, Joan Massagu\u00e9, Bert Vogelstein, and Robert Weinberg
2005: Antonio Damasio
2006: Juan Ignacio Cirac
2007: Peter Lawrence and Gin\u00e9s Morata
2008: Sumio Iijima, Shuji Nakamura, Robert Langer, George M. Whitesides, and Tobin Marks
2009: Martin Cooper and Raymond Tomlinson
2010: David Julius, Baruch Minke, and Linda Watkins
2011: Joseph Altman, Arturo \u00c1lvarez-Buylla, and Giacomo Rizzolatti
2012: Gregory Winter and Richard A. Lerner
2013: Peter Higgs, Fran\u00e7ois Englert, and European Organization for Nuclear Research CERN
2014: Avelino Corma Can\u00f3s, Mark E. Davis, and Galen D. Stucky

Princess of Asturias Award for Technical and Scientific Research

2015: Emmanuelle Charpentier and Jennifer Doudna
2016: Hugh Herr
2017: Rainer Weiss, Kip S. Thorne, Barry C. Barish, and the LIGO Scientific Collaboration
2018: Svante P\u00e4\u00e4bo
2019: Joanne Chory and Sandra Myrna D\u00edaz
2020: Yves Meyer, Ingrid Daubechies, Terence Tao, and Emmanuel Cand\u00e8s
2021: Katalin Karik\u00f3, Drew Weissman, Philip Felgner, U\u011fur \u015eahin, \u00d6zlem T\u00fcreci, Derrick Rossi, and Sarah Gilbert
2022: Geoffrey Hinton, Yann LeCun, Yoshua Bengio, and Demis Hassabis
2023: Jeffrey I. Gordon, Everett Peter Greenberg, and Bonnie Bassler
2024: Daniel J. Drucker, Jeffrey M. Friedman, Joel F. Habener, Jens Juul Holst, and Svetlana Mojsov

v t e Bullfrog Productions (all games)
Populous series	\n Populous \n Populous II \n Populous: The Beginning \n
Syndicate series	\n Syndicate \n American Revolt \n Syndicate Wars \n
Magic Carpet series	\n Magic Carpet \n Magic Carpet 2 \n
Theme series	\n Theme Park \n Theme Hospital \n Theme Aquarium \n Theme Park World \n Theme Park Inc \n
Dungeon Keeper series	\n Dungeon Keeper \n Dungeon Keeper 2 \n
Other games	\n Fusion \n Flood \n Powermonger \n Hi-Octane \n Genewars \n
Cancelled games	\n Dungeon Keeper 3 \n Creation \n The Indestructibles \n
People	\n Peter Molyneux \n Les Edgar \n Glenn Corpes \n Gary Carr \n Mark Webley \n Demis Hassabis \n Mark Healey \n
Related companies	\n Mucky Foot Productions \n Lionhead Studios \n Lost Toys \n 22cans \n Two Point Studios \n 5 Lives Studios \n

v t e Lionhead Studios
General	\n List of games developed \n
Black & White series	\n Black & White\n Creature Isle \n Black & White 2\n Battle of the Gods \n
Fable series	\n Fable\n Lost Chapters \n Fable II \n Fable III \n Fable Heroes \n Fable: The Journey \n Fable Legends \n
Other titles	\n B.C. \n The Movies\n Stunts & Effects \n Project Milo \n Unity \n
People	\n Peter Molyneux \n Mark Webley \n Steve Jackson \n Gary Carr \n Mark Healey \n Demis Hassabis \n
Related companies	\n Bullfrog Productions \n Elixir Studios \n Media Molecule \n 22cans \n Two Point Studios \n

Authority control databases $\"Edit$
International	ISNI VIAF
National	Germany United States Poland
Academics	ORCID Association for Computing Machinery Scopus zbMATH Google Scholar DBLP

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Demis Hassabis

Media collections