Demis Hassabis

Last updated

Sir

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
Nationality British
Education
Alma mater
Known for
Awards
Scientific career
Fields
Institutions
Thesis Neural processes underpinning episodic memory  (2009)
Doctoral advisor Eleanor Maguire [1]
Website demishassabis.com

Sir 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]

Contents

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. In 2024 he was knighted for services to AI. [12]

Early life and education

Hassabis was born to a Greek Cypriot father and a Chinese Singaporean mother and grew up in North London. [4] [13] A child prodigy in chess from the age of 4, [14] [15] Hassabis reached master standard at the age of 13 with an Elo rating of 2300 and captained many of the England junior chess teams. [16] He represented the University of Cambridge in the Oxford–Cambridge varsity chess matches of 1995, [17] 1996 [18] and 1997, [19] 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. [15] 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, [15] 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 game's designer Peter Molyneux. [20] Theme Park, a simulation video game, sold several million copies [16] and inspired a whole genre of simulation sandbox games. He earned enough from his gap year to pay his own way through university. [15]

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. [16]

Career and research

Lionhead

After graduating from Cambridge, Hassabis worked at Lionhead Studios. [21] 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. [16]

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. [22] In addition to managing the company, Hassabis served as executive designer of the BAFTA-nominated games Republic: The Revolution and Evil Genius . [16]

The release of Elixir's first game, Republic: The Revolution , a highly ambitious and unusual political simulation game, [23] 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. [24] Evil Genius, a tongue-in-cheek Bond villain simulator, fared much better with a score of 75/100. [25] In April 2005 the intellectual property and technology rights were sold to various publishers and the studio was closed. [26] [27]

Neuroscience research at University College London

Demis Hassabis (left) with Blaise Aguera y Arcas (right) in 2014, at the Wired conference in London PhotonQ-Demis Hassabis on Artificial Playful Intelligence (15366514658) (2).jpg
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. [28]

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. [29]

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, [30] 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, [31]

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. [32] This work received widespread coverage in the mainstream media [33] and was listed in the top 10 scientific breakthroughs of the year by the journal Science . [34] 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. [35] [36]

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. [37] Hassabis also recruited his university friend and Elixir partner David Silver. [38]

DeepMind's mission is to "solve intelligence" and then use intelligence "to solve everything else". [39] 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. [40]

DeepMind's early investors included several high-profile tech entrepreneurs. [41] [42] In 2014, Google purchased DeepMind for £400 million. Although most of the company has remained an independent entity based in London, [43] DeepMind Health has since been directly incorporated into Google Health. [44]

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. [45] [46] 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. [47] [48] Additional DeepMind accomplishments include creating a Neural Turing Machine, [49] reducing the energy used by the cooling systems in Google's data centers by 40%, [50] advancing research on AI safety, [51] [52] 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. [53]

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 . [54] 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. [55] [56]

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. [57] Hassabis has predicted that Artificial Intelligence will be "one of the most beneficial technologies of mankind ever" but that significant ethical issues remain. [58]

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". [59] 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. [60]

Personal life

Hassabis resides in North London with his family. [61] [62] [63] He is also a lifelong fan of Liverpool FC. [15]

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:

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: [22]

Related Research Articles

Geoffrey Everest Hinton is a British-Canadian computer scientist and cognitive psychologist, most noted for his work on artificial neural networks. From 2013 to 2023, he divided his time working for Google and the University of Toronto, before publicly announcing his departure from Google in May 2023, citing concerns about the risks of artificial intelligence (AI) technology. In 2017, he co-founded and became the chief scientific advisor of the Vector Institute in Toronto.

This is a timeline of artificial intelligence, sometimes alternatively called synthetic intelligence.

<span class="mw-page-title-main">Google DeepMind</span> Artificial intelligence division

DeepMind Technologies Limited, doing business as Google DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Google. Founded in the UK in 2010, it was acquired by Google in 2014. The company is based in London, with research centres in Canada, France, Germany, and the United States.

<span class="mw-page-title-main">Mustafa Suleyman</span> British entrepreneur and activist

Mustafa Suleyman is a British artificial intelligence (AI) entrepreneur. He is the CEO of Microsoft AI, and the co-founder and former head of applied AI at DeepMind, an AI company acquired by Google. After leaving DeepMind, he co-founded Inflection AI, a machine learning and generative AI company, in 2022.

<span class="mw-page-title-main">Martin Ford (author)</span> American futurist and author

Martin Ford is an American futurist and author focusing on artificial intelligence and robotics, and the impact of these technologies on the job market, economy and society.

Pushmeet Kohli is a computer scientist at Google DeepMind where he holds the position of Vice President of research for the "Secure and Reliable AI" and "AI for Science and Sustainability". Before joining DeepMind, he was partner scientist and director of research at Microsoft Research and a post-doctoral fellow at the University of Cambridge. Kohli's research investigates applications of machine learning and computer vision. He has also made contributions in game theory, discrete algorithms and psychometrics.

<span class="mw-page-title-main">Yoshua Bengio</span> Canadian computer scientist

Yoshua Bengio is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (MILA).

Shane Legg is a machine learning researcher and entrepreneur. With Demis Hassabis and Mustafa Suleyman, he cofounded DeepMind Technologies, and works there as the chief AGI scientist. He is also known for his academic work on artificial general intelligence, including his thesis supervised by Marcus Hutter.

AlphaGo is a computer program that plays the board game Go. It was developed by the London-based DeepMind Technologies, an acquired subsidiary of Google. Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. After retiring from competitive play, AlphaGo Master was succeeded by an even more powerful version known as AlphaGo Zero, which was completely self-taught without learning from human games. AlphaGo Zero was then generalized into a program known as AlphaZero, which played additional games, including chess and shogi. AlphaZero has in turn been succeeded by a program known as MuZero which learns without being taught the rules.

AlphaGo versus Lee Sedol, also known as the DeepMind Challenge Match, was a five-game Go match between top Go player Lee Sedol and AlphaGo, a computer Go program developed by DeepMind, played in Seoul, South Korea between 9 and 15 March 2016. AlphaGo won all but the fourth game; all games were won by resignation. The match has been compared with the historic chess match between Deep Blue and Garry Kasparov in 1997.

David Silver is a principal research scientist at Google DeepMind and a professor at University College London. He has led research on reinforcement learning with AlphaGo, AlphaZero and co-lead on AlphaStar.

Aja Huang is a Taiwanese computer scientist and expert on artificial intelligence. He works for DeepMind and was a member of the AlphaGo project.

Master is a version of DeepMind's Go software AlphaGo, named after the account name used online, which won 60 straight online games against human professional Go players from 29 December 2016 to 4 January 2017. This version was also used in the Future of Go Summit in May 2017. It used four TPUs on a single machine with Elo rating 4,858. DeepMind claimed that AlphaGo Master was 3-stone stronger than the version used in AlphaGo v. Lee Sedol.

AlphaGo Zero is a version of DeepMind's Go software AlphaGo. AlphaGo's team published an article in the journal Nature on 19 October 2017, introducing AlphaGo Zero, a version created without using data from human games, and stronger than any previous version. By playing games against itself, AlphaGo Zero surpassed the strength of AlphaGo Lee in three days by winning 100 games to 0, reached the level of AlphaGo Master in 21 days, and exceeded all the old versions in 40 days.

AlphaGo versus Fan Hui was a five-game Go match between European champion Fan Hui, a 2-dan professional, and AlphaGo, a computer Go program developed by DeepMind, held at DeepMind's headquarters in London in October 2015. AlphaGo won all five games. This was the first time a computer Go program had beaten a professional human player on a full-sized board without handicap. This match was not disclosed to the public until 27 January 2016 to coincide with the publication of a paper in the journal Nature describing the algorithms AlphaGo used.

<span class="mw-page-title-main">AlphaZero</span> Game-playing artificial intelligence

AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go. This algorithm uses an approach similar to AlphaGo Zero.

AlphaStar is a computer program by DeepMind that plays the video game StarCraft II. It was unveiled to the public by name in January 2019. In a significant milestone for artificial intelligence, AlphaStar attained Grandmaster status in August 2019.

AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. The program is designed as a deep learning system.

Timothy P. Lillicrap is a Canadian neuroscientist and AI researcher, adjunct professor at University College London, and staff research scientist at Google DeepMind, where he has been involved in the AlphaGo and AlphaZero projects mastering the games of Go, Chess and Shogi. His research focuses on machine learning and statistics for optimal control and decision making, as well as using these mathematical frameworks to understand how the brain learns. He has developed algorithms and approaches for exploiting deep neural networks in the context of reinforcement learning, and new recurrent memory architectures for one-shot learning.

Isomorphic Labs Limited is a London-based drug discovery company, which uses artificial intelligence for drug discovery. Isomorphic Labs was founded by Demis Hassabis. The company was incorporated on February 4, 2021 and announced on November 5, 2021. It was established under Alphabet Inc. as a spin-off from its AI research lab DeepMind. Hassabis is the CEO and founder.

References

  1. 1 2 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. Lock-green.svg
  2. 1 2 "Demis HASSABIS, Order of the British Empire". The London Gazette . Archived from the original on 24 January 2018. Retrieved 30 December 2017.
  3. 1 2 "Demis Hassabis". Royal Society. Archived from the original on 13 June 2018. Retrieved 13 June 2018.
  4. 1 2 3 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. 1 2 "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. ↑ "Leading AI figures awarded honours". The Independent. 28 March 2024.
  13. ↑ 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.
  14. ↑ "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.
  15. 1 2 3 4 5 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.
  16. 1 2 3 4 5 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.
  17. ↑ 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
  18. ↑ 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
  19. ↑ 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
  20. ↑ "Time 100 AI 2023 - Demis Hassabis". TIME . Time . Retrieved 7 September 2023.
  21. ↑ "Demis Hassabis on Desert Island Discs". Desert Island Discs . BBC. Archived from the original on 14 January 2018. Retrieved 18 February 2018.
  22. 1 2 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)
  23. ↑ 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.
  24. ↑ "Republic: The Revolution". Metacritic . Archived from the original on 7 February 2017. Retrieved 30 July 2016.
  25. ↑ "Evil Genius". Metacritic. Archived from the original on 12 August 2016. Retrieved 30 July 2016.
  26. ↑ 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.
  27. ↑ "Elixir Studios". IGN . Archived from the original on 13 October 2012.
  28. ↑ 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.
  29. ↑ 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.
  30. ↑ 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.
  31. ↑ 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.
  32. ↑ 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.
  33. ↑ 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.
  34. ↑ The News Staff (2007). "BREAKTHROUGH OF THE YEAR: The Runners-up". Science . 318 (5858): 1844a–. doi: 10.1126/science.318.5858.1844a . PMID   18096772.
  35. ↑ 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.
  36. ↑ 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.
  37. ↑ Rowan, David (22 June 2015). "DeepMind: Inside Google's Super Brain". Wired . Archived from the original on 21 August 2017. Retrieved 26 August 2017.
  38. ↑ 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.
  39. ↑ 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.
  40. ↑ 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.
  41. ↑ "DeepMind Technologies". Angel. 26 January 2015. Archived from the original on 19 September 2016. Retrieved 30 July 2016.
  42. ↑ 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.
  43. ↑ "Google to Buy Artificial Intelligence Company DeepMind". Reuters . 26 January 2015. Archived from the original on 22 April 2017. Retrieved 30 June 2017.
  44. ↑ 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.
  45. ↑ 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.
  46. ↑ 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.
  47. ↑ 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.
  48. ↑ 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.
  49. ↑ "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.
  50. ↑ "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.
  51. ↑ "Google Developing Kill Switch for AI". BBC News . 8 June 2016. Archived from the original on 11 June 2016. Retrieved 21 June 2018.
  52. ↑ 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.
  53. ↑ 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.
  54. ↑ 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.
  55. ↑ "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.
  56. ↑ 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.
  57. ↑ Silver, David (17 June 2016). "Deep Reinforcement Learning". DeepMind Blog. Retrieved 30 July 2016.
  58. ↑ "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.
  59. ↑ "Statement on AI Risk | CAIS". www.safe.ai. Retrieved 29 June 2023.
  60. ↑ Knight, Will. "Google DeepMind CEO Demis Hassabis Says Its Next Algorithm Will Eclipse ChatGPT". Wired. ISSN   1059-1028 . Retrieved 29 June 2023.
  61. ↑ Burton-Hill, Clemency (16 February 2016). "The superhero of artificial intelligence: can this genius keep it in check?". The Observer.
  62. ↑ Ahmed, Murad (30 January 2015). "Lunch with the FT: Demis Hassabis". Financial Times.
  63. ↑ "Exclusive interview: meet Demis Hassabis, London's megamind who just sold his company to Google for £400m". Evening Standard. 7 February 2014.
  64. ↑ Albert Lasker Award for Basic Medical Research 2023
  65. ↑ Canada Gairdner International Award 2023
  66. ↑ "Breakthrough Prizes 2023" . Retrieved 22 September 2022.
  67. ↑ Andina, Michele (2 February 2023). "A 'neutral' hub for artificial intelligence in the Swiss Alps". SWI swissinfo.ch. Retrieved 19 July 2023.
  68. ↑ BBVA Foundation Frontiers of Knowledge Award 2022
  69. ↑ "Princess of Asturias Awards 2022". Archived from the original on 15 June 2022. Retrieved 15 June 2022.
  70. ↑ Wiley Prize 2022
  71. ↑ "IRI Medal 2021". Archived from the original on 11 April 2022. Retrieved 4 June 2022.
  72. ↑ "Demis Hassabis". American Academy of Arts & Sciences. Retrieved 14 September 2022.
  73. ↑ "The 50 most influential people in Britain". British GQ. 5 February 2020. Archived from the original on 13 May 2020. Retrieved 13 June 2020.
  74. ↑ "Laureates 2020". www.dandavidprize.org. Archived from the original on 28 June 2021. Retrieved 13 February 2020.
  75. ↑ "The 50 most influential people in UK IT 2019". computerweekly.com. Archived from the original on 21 June 2020. Retrieved 13 June 2020.
  76. ↑ "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.
  77. ↑ "Honorary graduates, fellows and Imperial College medals | About | Imperial College London". www.imperial.ac.uk. Retrieved 14 September 2022.
  78. ↑ "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.
  79. ↑ Kurzweil, Ray (20 April 2017). "Demis Hassabis". Time . Archived from the original on 20 April 2017. Retrieved 20 April 2017.
  80. ↑ "Asian Awards". The Asian Awards . 2017. Archived from the original on 28 August 2017. Retrieved 8 June 2017.
  81. ↑ "Fellow of the Royal Academy of Engineering". Royal Academy of Engineering . 2017. Archived from the original on 2 October 2017. Retrieved 25 September 2017.
  82. ↑ "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.
  83. ↑ "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.
  84. ↑ "Honorary Fellows of UCL". UCL Website. Archived from the original on 20 November 2016. Retrieved 20 November 2016.
  85. ↑ 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.
  86. ↑ "Royal Academy of Engineering Silver Medal". Royal Academy of Engineering. 2015. Archived from the original on 13 November 2016. Retrieved 30 July 2016.
  87. 1 2 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.
  88. ↑ 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.
  89. ↑ Anon (2016). "Nature's 10". Nature. 540 (7634): 507–515. Bibcode:2016Natur.540..507.. doi: 10.1038/540507a . ISSN   0028-0836. PMID   30905952.
  90. ↑ "Demis Hassabis, Ph.D." Academy of Achievement. Archived from the original on 17 September 2020. Retrieved 14 June 2020.
  91. ↑ "Europe's Top 50 Tech Entrepreneurs". Financial Times . 19 June 2015. Archived from the original on 2 July 2022. Retrieved 30 July 2016.
  92. ↑ 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.
  93. ↑ "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.
  94. ↑ "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.
  95. ↑ Redman, Craig (9 December 2013). "The Wired Smart List 2013". Wired . Archived from the original on 7 October 2019. Retrieved 26 August 2017.
  96. ↑ 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.
  97. ↑ "Science's 2021 Breakthrough of the Year: AI brings protein structures to all". www.science.org. Retrieved 14 September 2022.
  98. ↑ "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.
  99. ↑ "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.
  100. ↑ The News Staff (21 December 2007). "The Runners-Up". Science. 318 (5858): 1844a–1849a. doi: 10.1126/science.318.5858.1844a . PMID   18096772.
  101. ↑ "Cambridge Computer Laboratory Hall of Fame Awards". University of Cambridge Website. 2016. Archived from the original on 3 February 2016. Retrieved 30 July 2016.
  102. ↑ "Volume 518 Issue 7540, 26 February 2015". nature.com. Archived from the original on 29 July 2020. Retrieved 11 June 2020.
  103. ↑ "Volume 529 Issue 7587, 28 January 2016". nature.com. Archived from the original on 29 July 2020. Retrieved 11 June 2020.
  104. ↑ "Volume 575 Issue 7782, 14 November 2019". nature.com. Archived from the original on 29 July 2020. Retrieved 11 June 2020.
  105. ↑ "Volume 577 Issue 7792, 30 January 2020". nature.com. Archived from the original on 29 July 2020. Retrieved 11 June 2020.
  106. ↑ "Volume 596 Issue 7873, 26 August 2021". www.nature.com. Archived from the original on 2 December 2021. Retrieved 2 December 2021.
  107. ↑ "Volume 600 Issue 7887, 2 December 2021". www.nature.com. Archived from the original on 2 December 2021. Retrieved 2 December 2021.
  108. ↑ 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.
  109. ↑ 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.
  110. ↑ "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.
  111. ↑ 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.
  112. ↑ "City AM Awards 2016". City AM Website. Archived from the original on 21 November 2016. Retrieved 20 November 2016.
  113. ↑ "HendonMob Poker database". Archived from the original on 23 April 2018. Retrieved 22 April 2018.
  114. ↑ "Pentamind". Mind Sports Olympiad. 2015. Archived from the original on 15 August 2016. Retrieved 30 July 2016.
This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.