Difference between revisions of "Demis Hassabis"

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'''Demis Hassabis''',<br/>
 
'''Demis Hassabis''',<br/>
a British computer scientist, neuroscientist, [[Artificial Intelligence|artificial intelligence]] researcher, computer game developer, entrepeneur, and founder and CEO of [[DeepMind]] <ref>[https://twitter.com/demishassabis Demis Hassabis (@demishassabis) | Twitter]</ref>. He was a child prodigy in chess starting with age 4, with an Elo rating of 2300 at the age of 13, is an accomplished [[Shogi|shogi]] and [[Poker|poker]] player <ref>[http://demishassabis.com/biography/ DH - Bio]</ref>, and further won the [https://en.wikipedia.org/wiki/Mind_Sports_Olympiad Mind Sports Olympiad] in 1999, aged 23, and four more times in consecutive years <ref>[http://www.theguardian.com/technology/shortcuts/2014/jan/28/demis-hassabis-15-facts-deepmind-technologies-founder-google Demis Hassabis: 15 facts about the DeepMind Technologies founder | Technology] by [http://www.theguardian.com/profile/samuel-gibbs Samuel Gibbs], [[The Guardian]], January 28, 2014</ref>. At age 8, he baught his first computer, a [[ZX Spectrum]] from a prize money of a chess match, and made his first practical AI experiences in developing chess and [[Othello]] programs.
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a British computer scientist, neuroscientist, [[Artificial Intelligence|artificial intelligence]] researcher, computer game developer, entrepreneur, and founder and CEO of [[DeepMind]] <ref>[https://twitter.com/demishassabis Demis Hassabis (@demishassabis) | Twitter]</ref>. He was a child prodigy in chess starting with age 4, with an Elo rating of 2300 at the age of 13, is an accomplished [[Shogi|shogi]] and [[Poker|poker]] player <ref>[http://demishassabis.com/biography/ DH - Bio]</ref>, and further won the [https://en.wikipedia.org/wiki/Mind_Sports_Olympiad Mind Sports Olympiad] in 1999, aged 23, and four more times in consecutive years <ref>[http://www.theguardian.com/technology/shortcuts/2014/jan/28/demis-hassabis-15-facts-deepmind-technologies-founder-google Demis Hassabis: 15 facts about the DeepMind Technologies founder | Technology] by [http://www.theguardian.com/profile/samuel-gibbs Samuel Gibbs], [[The Guardian]], January 28, 2014</ref>. At age 8, he baught his first computer, a [[ZX Spectrum]] from a prize money of a chess match, and made his first practical AI experiences in developing chess and [[Othello]] programs.
  
 
At age 16, Demis Hassabis began his game developer career at [https://en.wikipedia.org/wiki/Bullfrog_Productions Bullfrog Productions], working with [https://en.wikipedia.org/wiki/Peter_Molyneux Peter Molyneux] on [https://en.wikipedia.org/wiki/Theme_Park_%28video_game%29 Theme Park], later continuing his collaboration with Molyneux at [https://en.wikipedia.org/wiki/Lionhead_Studios Lionhead Studios] on [https://en.wikipedia.org/wiki/Black_%26_White_%28video_game%29 Black & White]. His further games [https://en.wikipedia.org/wiki/Republic:_The_Revolution Republic: The Revolution] and [https://en.wikipedia.org/wiki/Evil_Genius_%28video_game%29 Evil Genius] were already developed under his 1998 founded [https://en.wikipedia.org/wiki/Elixir_Studios Elixir Studios] . He graduated in computer science from [https://en.wikipedia.org/wiki/University_of_Cambridge University of Cambridge] in 1997 and defended his Ph.D. from [https://en.wikipedia.org/wiki/University_College_London University College London] in [https://en.wikipedia.org/wiki/Cognitive_neuroscience cognitive neuroscience] in 2009, followed by postdocs at [[Massachusetts Institute of Technology|MIT]] and [[Harvard University|Harvard]].
 
At age 16, Demis Hassabis began his game developer career at [https://en.wikipedia.org/wiki/Bullfrog_Productions Bullfrog Productions], working with [https://en.wikipedia.org/wiki/Peter_Molyneux Peter Molyneux] on [https://en.wikipedia.org/wiki/Theme_Park_%28video_game%29 Theme Park], later continuing his collaboration with Molyneux at [https://en.wikipedia.org/wiki/Lionhead_Studios Lionhead Studios] on [https://en.wikipedia.org/wiki/Black_%26_White_%28video_game%29 Black & White]. His further games [https://en.wikipedia.org/wiki/Republic:_The_Revolution Republic: The Revolution] and [https://en.wikipedia.org/wiki/Evil_Genius_%28video_game%29 Evil Genius] were already developed under his 1998 founded [https://en.wikipedia.org/wiki/Elixir_Studios Elixir Studios] . He graduated in computer science from [https://en.wikipedia.org/wiki/University_of_Cambridge University of Cambridge] in 1997 and defended his Ph.D. from [https://en.wikipedia.org/wiki/University_College_London University College London] in [https://en.wikipedia.org/wiki/Cognitive_neuroscience cognitive neuroscience] in 2009, followed by postdocs at [[Massachusetts Institute of Technology|MIT]] and [[Harvard University|Harvard]].
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==2015 ...==
 
==2015 ...==
 
* [[Joel Z. Leibo]], [https://www.linkedin.com/in/juliencornebise Julien Cornebise], [https://scholar.google.com/citations?user=ETrjkSIAAAAJ&hl=en Sergio Gómez], [[Demis Hassabis]] ('''2015'''). ''Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation''. [http://arxiv.org/abs/1512.08457 arXiv:1512.08457] <ref>[https://en.wikipedia.org/wiki/Cortical_column#Hubel_and_Wiesel_studies Cortical column - Hubel and Wiesel studies - Wikipedia]</ref>
 
* [[Joel Z. Leibo]], [https://www.linkedin.com/in/juliencornebise Julien Cornebise], [https://scholar.google.com/citations?user=ETrjkSIAAAAJ&hl=en Sergio Gómez], [[Demis Hassabis]] ('''2015'''). ''Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation''. [http://arxiv.org/abs/1512.08457 arXiv:1512.08457] <ref>[https://en.wikipedia.org/wiki/Cortical_column#Hubel_and_Wiesel_studies Cortical column - Hubel and Wiesel studies - Wikipedia]</ref>
* [[Volodymyr Mnih]], [[Koray Kavukcuoglu]], [[David Silver]], [[Andrei A. Rusu]], [[Joel Veness]], [[Marc G. Bellemare]], [[Alex Graves]], [[Martin Riedmiller]], [[Andreas K. Fidjeland]], [[Georg Ostrovski]], [[Stig Petersen]], [[Charles Beattie]], [[Amir Sadik]], [[Ioannis Antonoglou]], [[Helen King]], [[Dharshan Kumaran]], [[Daan Wierstra]], [[Shane Legg]], [[Demis Hassabis]] ('''2015'''). ''[http://www.nature.com/nature/journal/v518/n7540/abs/nature14236.html Human-level control through deep reinforcement learning]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 518
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* [[Volodymyr Mnih]], [[Koray Kavukcuoglu]], [[David Silver]], [[Mathematician#AARusu|Andrei A. Rusu]], [[Joel Veness]], [[Marc G. Bellemare]], [[Alex Graves]], [[Martin Riedmiller]], [[Andreas K. Fidjeland]], [[Georg Ostrovski]], [[Stig Petersen]], [[Charles Beattie]], [[Amir Sadik]], [[Ioannis Antonoglou]], [[Helen King]], [[Dharshan Kumaran]], [[Daan Wierstra]], [[Shane Legg]], [[Demis Hassabis]] ('''2015'''). ''[http://www.nature.com/nature/journal/v518/n7540/abs/nature14236.html Human-level control through deep reinforcement learning]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 518
 
'''2016'''
 
'''2016'''
 
* [[Dharshan Kumaran]], [[Demis Hassabis]], [[James L. McClelland]] ('''2016'''). ''What learning systems do intelligent agents need? Complementary Learning Systems Theory Updated''. [https://en.wikipedia.org/wiki/Trends_in_Cognitive_Sciences Trends in Cognitive Sciences], Vol. 20, No. 7, [https://drive.google.com/file/d/0B-Nvsz4idhaeVEZYMEVaWkFjLVU/view pdf]
 
* [[Dharshan Kumaran]], [[Demis Hassabis]], [[James L. McClelland]] ('''2016'''). ''What learning systems do intelligent agents need? Complementary Learning Systems Theory Updated''. [https://en.wikipedia.org/wiki/Trends_in_Cognitive_Sciences Trends in Cognitive Sciences], Vol. 20, No. 7, [https://drive.google.com/file/d/0B-Nvsz4idhaeVEZYMEVaWkFjLVU/view pdf]
 
* [[David Silver]], [[Shih-Chieh Huang|Aja Huang]], [[Chris J. Maddison]], [[Arthur Guez]], [[Laurent Sifre]], [[George van den Driessche]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Veda Panneershelvam]], [[Marc Lanctot]], [[Sander Dieleman]], [[Dominik Grewe]], [[John Nham]], [[Nal Kalchbrenner]], [[Ilya Sutskever]], [[Timothy Lillicrap]], [[Madeleine Leach]], [[Koray Kavukcuoglu]], [[Thore Graepel]], [[Demis Hassabis]] ('''2016'''). ''[http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html Mastering the game of Go with deep neural networks and tree search]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 529
 
* [[David Silver]], [[Shih-Chieh Huang|Aja Huang]], [[Chris J. Maddison]], [[Arthur Guez]], [[Laurent Sifre]], [[George van den Driessche]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Veda Panneershelvam]], [[Marc Lanctot]], [[Sander Dieleman]], [[Dominik Grewe]], [[John Nham]], [[Nal Kalchbrenner]], [[Ilya Sutskever]], [[Timothy Lillicrap]], [[Madeleine Leach]], [[Koray Kavukcuoglu]], [[Thore Graepel]], [[Demis Hassabis]] ('''2016'''). ''[http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html Mastering the game of Go with deep neural networks and tree search]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 529
* [[James Kirkpatrick]], [[Razvan Pascanu]], [[Neil C. Rabinowitz]], [[Joel Veness]], [[Guillaume Desjardins]], [[Andrei A. Rusu]], [[Kieran Milan]], [[John Quan]], [[Tiago Ramalho]],  [[Agnieszka Grabska-Barwinska]], [[Demis Hassabis]], [[Claudia Clopath]], [[Dharshan Kumaran]], [[Raia Hadsell]] ('''2016'''). ''Overcoming catastrophic forgetting in neural networks''. [https://arxiv.org/abs/1612.00796 arXiv:1612.00796]
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* [[James Kirkpatrick]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Neil C. Rabinowitz]], [[Joel Veness]], [[Guillaume Desjardins]], [[Mathematician#AARusu|Andrei A. Rusu]], [[Kieran Milan]], [[John Quan]], [[Tiago Ramalho]],  [[Agnieszka Grabska-Barwinska]], [[Demis Hassabis]], [[Claudia Clopath]], [[Dharshan Kumaran]], [[Mathematician#RHadsell|Raia Hadsell]] ('''2016'''). ''Overcoming catastrophic forgetting in neural networks''. [https://arxiv.org/abs/1612.00796 arXiv:1612.00796]
 
'''2017'''
 
'''2017'''
 
* [[David Silver]], [[Julian Schrittwieser]], [[Karen Simonyan]], [[Ioannis Antonoglou]], [[Shih-Chieh Huang|Aja Huang]], [[Arthur Guez]], [[Thomas Hubert]], [[Lucas Baker]], [[Matthew Lai]], [[Adrian Bolton]], [[Yutian Chen]], [[Timothy Lillicrap]], [[Fan Hui]], [[Laurent Sifre]], [[George van den Driessche]], [[Thore Graepel]], [[Demis Hassabis]] ('''2017'''). ''[https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html Mastering the game of Go without human knowledge]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 550 <ref>[https://deepmind.com/blog/alphago-zero-learning-scratch/ AlphaGo Zero: Learning from scratch] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], October 18, 2017</ref>
 
* [[David Silver]], [[Julian Schrittwieser]], [[Karen Simonyan]], [[Ioannis Antonoglou]], [[Shih-Chieh Huang|Aja Huang]], [[Arthur Guez]], [[Thomas Hubert]], [[Lucas Baker]], [[Matthew Lai]], [[Adrian Bolton]], [[Yutian Chen]], [[Timothy Lillicrap]], [[Fan Hui]], [[Laurent Sifre]], [[George van den Driessche]], [[Thore Graepel]], [[Demis Hassabis]] ('''2017'''). ''[https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html Mastering the game of Go without human knowledge]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 550 <ref>[https://deepmind.com/blog/alphago-zero-learning-scratch/ AlphaGo Zero: Learning from scratch] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], October 18, 2017</ref>
 
* [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815] » [[AlphaZero]]
 
* [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815] » [[AlphaZero]]
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'''2018'''
 +
* [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2018'''). ''[http://science.sciencemag.org/content/362/6419/1140 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 362, No. 6419 <ref>[https://deepmind.com/blog/alphazero-shedding-new-light-grand-games-chess-shogi-and-go/ AlphaZero: Shedding new light on the grand games of chess, shogi and Go] by [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]] and [[Demis Hassabis]], [[DeepMind]], December 03, 2018</ref>
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'''2019'''
 +
* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2019'''). ''Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model''. [https://arxiv.org/abs/1911.08265 arXiv:1911.08265]
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==2020 ...==
 +
* [[Nenad Tomašev]], [[Ulrich Paquet]], [[Demis Hassabis]], [[Vladimir Kramnik]] ('''2020'''). ''Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess''. [https://arxiv.org/abs/2009.04374 arXiv:2009.04374]
 +
* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2020'''). ''[https://www.nature.com/articles/s41586-020-03051-4 Mastering Atari, Go, chess and shogi by planning with a learned model]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 588 <ref>[https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules?fbclid=IwAR3mSwrn1YXDKr9uuGm2GlFKh76wBilex7f8QvBiQecwiVmAvD6Bkyjx-rE MuZero: Mastering Go, chess, shogi and Atari without rules]</ref>
  
 
=External Links=  
 
=External Links=  
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'''[[People|Up one level]]'''
 
'''[[People|Up one level]]'''
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[[Category:Chess Player|Hassabis]]
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[[Category:Entrepreneur|Hassabis]]
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[[Category:Researcher|Hassabis]]
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[[Category:Videos|Hassabis]]

Revision as of 10:23, 16 April 2021

Home * People * Demis Hassabis

Demis Hassabis [1]

Demis Hassabis,
a British computer scientist, neuroscientist, artificial intelligence researcher, computer game developer, entrepreneur, and founder and CEO of DeepMind [2]. He was a child prodigy in chess starting with age 4, with an Elo rating of 2300 at the age of 13, is an accomplished shogi and poker player [3], and further won the Mind Sports Olympiad in 1999, aged 23, and four more times in consecutive years [4]. At age 8, he baught his first computer, a ZX Spectrum from a prize money of a chess match, and made his first practical AI experiences in developing chess and Othello programs.

At age 16, Demis Hassabis began his game developer career at Bullfrog Productions, working with Peter Molyneux on Theme Park, later continuing his collaboration with Molyneux at Lionhead Studios on Black & White. His further games Republic: The Revolution and Evil Genius were already developed under his 1998 founded Elixir Studios . He graduated in computer science from University of Cambridge in 1997 and defended his Ph.D. from University College London in cognitive neuroscience in 2009, followed by postdocs at MIT and Harvard.

DeepMind

After finishing his academic career, Demis Hassabis founded DeepMind in 2010, which was acquired by Google in 2014. In January 2016, DeepMind reported archiving an AI "breakthrough" with their Go playing program AlphaGo by beating European Go champion Fan Hui [5] in October 2015 with a 5 - 0 score [6] [7] [8]. In December 2017, a breakthrough in the domains of chess and Shogi was reported, combining Deep learning with Monte-Carlo Tree Search [9].

Selected Publications

[10] [11]

2009

2015 ...

2016

2017

2018

2019

2020 ...

External Links

DeepMind

Gaming

AlphaGo

References

  1. Demis Hassabis (@demishassabis) | Twitter
  2. Demis Hassabis (@demishassabis) | Twitter
  3. DH - Bio
  4. Demis Hassabis: 15 facts about the DeepMind Technologies founder | Technology by Samuel Gibbs, The Guardian, January 28, 2014
  5. Fan Hui at Sensei's Library
  6. AlphaGo | Google DeepMind
  7. Game Over? AlphaGo Beats Pro 5-0 in Major AI Advance « American Go E-Journal, January 27, 2016
  8. David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis (2016). Mastering the game of Go with deep neural networks and tree search. Nature, Vol. 529
  9. David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis (2017). Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. arXiv:1712.01815
  10. Demis Hassabis - Google Scholar Citations
  11. dblp: Demis Hassabis
  12. Cortical column - Hubel and Wiesel studies - Wikipedia
  13. AlphaGo Zero: Learning from scratch by Demis Hassabis and David Silver, DeepMind, October 18, 2017
  14. AlphaZero: Shedding new light on the grand games of chess, shogi and Go by David Silver, Thomas Hubert, Julian Schrittwieser and Demis Hassabis, DeepMind, December 03, 2018
  15. MuZero: Mastering Go, chess, shogi and Atari without rules

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