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Created page with "'''Home * People * Demis Hassabis''' FILE:DemisHassabis.jpg|border|right|thumb|240px|link=https://twitter.com/demishassabis| Demis Hassabis <ref>[https://..."
'''[[Main Page|Home]] * [[People]] * Demis Hassabis'''
[[FILE:DemisHassabis.jpg|border|right|thumb|240px|link=https://twitter.com/demishassabis| Demis Hassabis <ref>[https://twitter.com/demishassabis Demis Hassabis (@demishassabis) | Twitter]</ref> ]]
'''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.
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]].
=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 [https://en.wikipedia.org/wiki/European_Go_Federation European Go] champion [https://fr.wikipedia.org/wiki/Fan_Hui Fan Hui] <ref>[http://senseis.xmp.net/?FanHui Fan Hui at Sensei's Library]</ref> in October 2015 with a 5 - 0 score <ref>[http://deepmind.com/alpha-go.html AlphaGo | Google DeepMind]</ref> <ref>[http://www.usgo.org/news/2016/01/alphago-beats-pro-5-0-in-major-ai-advance/ Game Over? AlphaGo Beats Pro 5-0 in Major AI Advance] « [http://www.usgo.org/news/ American Go E-Journal], January 27, 2016</ref> <ref> [[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</ref>. In December 2017, a breakthrough in the domains of chess and [[Shogi]] was reported, combining [[Deep Learning|Deep learning]] with [[Monte-Carlo Tree Search]] <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]</ref>.
=Selected Publications=
<ref>[https://scholar.google.com/citations?user=dYpPMQEAAAAJ Demis Hassabis - Google Scholar Citations]</ref> <ref>[http://dblp.uni-trier.de/pers/hd/h/Hassabis:Demis dblp: Demis Hassabis]</ref>
==2009==
* [[Demis Hassabis]] ('''2009'''). ''The Neural Processes Underpinning Episodic Memory''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_College_London University College London], Supervisor [https://en.wikipedia.org/wiki/Eleanor_Maguire Eleanor A. Maguire], [http://static1.1.sqspcdn.com/static/f/1096238/22752296/1369317078327/DemisHassabisThesis.pdf pdf]
* [[Demis Hassabis]], [https://en.wikipedia.org/wiki/Eleanor_Maguire Eleanor A. Maguire] ('''2009'''). ''[http://rstb.royalsocietypublishing.org/content/364/1521/1263.short The construction system of the brain]''. [https://en.wikipedia.org/wiki/Philosophical_Transactions_of_the_Royal_Society Philosophical Transactions of the Royal Society] B: Biological Sciences, Vol. 364, No. 1521
==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>
* [[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
'''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]
* [[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]
'''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]], [[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]]
=External Links=
* [http://demishassabis.com/ DH - Home]
* [https://twitter.com/demishassabis Demis Hassabis (@demishassabis) | Twitter]
* [https://www.linkedin.com/in/demishassabis/ Demis Hassabis | LinkedIn]
* [https://scholar.google.com/citations?user=dYpPMQEAAAAJ Demis Hassabis - Google Scholar Citations]
* [https://en.wikipedia.org/wiki/Demis_Hassabis Demis Hassabis from Wikipedia]
==DeepMind==
* [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
* [http://www.telegraph.co.uk/technology/10602390/Demis-Hassabis-the-secretive-computer-boffin-with-the-400-million-brain.html Demis Hassabis: the secretive computer boffin with the £400 million brain] by [http://www.telegraph.co.uk/journalists/tom-rowley/ Tom Rowley], [https://en.wikipedia.org/wiki/The_Daily_Telegraph Telegraph], January 28, 2014
* [https://deepmind.com/blog/deepmind-office-canada-edmonton/ DeepMind expands to Canada with new research office in Edmonton, Alberta] by [[Demis Hassabis]], [[DeepMind]], July 5, 2017 » [[Richard Sutton]], [[Michael Bowling]]
* Demis Hassabis, CEO, DeepMind Technologies - The Theory of Everything, [https://en.wikipedia.org/wiki/YouTube YouTube] Video
: {{#evu:https://www.youtube.com/watch?v=rbsqaJwpu6A|alignment=left|valignment=top}}
==Gaming==
* [http://ratings.fide.com/card.phtml?event=401307 Hassabis, Demis FIDE Chess Profile]
* [http://www.cardplayer.com/poker-players/248516-demis-hassabis Demis Hassabis - Poker Player]
==AlphaGo==
* [https://googleblog.blogspot.com/2016/01/alphago-machine-learning-game-go.html Official Google Blog: AlphaGo: using machine learning to master the ancient game of Go] by [[Demis Hassabis]], January 27, 2016
* [http://www.theguardian.com/technology/2016/feb/16/demis-hassabis-artificial-intelligence-deepmind-alphago The superhero of artificial intelligence: can this genius keep it in check?] by [https://en.wikipedia.org/wiki/Clemency_Burton-Hill Clemency Burton-Hill], [[The Guardian]], February 16, 2016
* [https://deepmind.com/blog/exploring-mysteries-alphago/ Exploring the mysteries of Go with AlphaGo and China's top players] by [[Demis Hassabis]], [[DeepMind]], April 10, 2017
* [https://deepmind.com/blog/alphagos-next-move/ AlphaGo's next move] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], May 27, 2017
* [https://deepmind.com/blog/alphago-zero-learning-scratch/ AlphaGo Zero: Learning from scratch] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], October 18, 2017
=References=
<references />
'''[[People|Up one level]]'''
[[FILE:DemisHassabis.jpg|border|right|thumb|240px|link=https://twitter.com/demishassabis| Demis Hassabis <ref>[https://twitter.com/demishassabis Demis Hassabis (@demishassabis) | Twitter]</ref> ]]
'''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.
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]].
=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 [https://en.wikipedia.org/wiki/European_Go_Federation European Go] champion [https://fr.wikipedia.org/wiki/Fan_Hui Fan Hui] <ref>[http://senseis.xmp.net/?FanHui Fan Hui at Sensei's Library]</ref> in October 2015 with a 5 - 0 score <ref>[http://deepmind.com/alpha-go.html AlphaGo | Google DeepMind]</ref> <ref>[http://www.usgo.org/news/2016/01/alphago-beats-pro-5-0-in-major-ai-advance/ Game Over? AlphaGo Beats Pro 5-0 in Major AI Advance] « [http://www.usgo.org/news/ American Go E-Journal], January 27, 2016</ref> <ref> [[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</ref>. In December 2017, a breakthrough in the domains of chess and [[Shogi]] was reported, combining [[Deep Learning|Deep learning]] with [[Monte-Carlo Tree Search]] <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]</ref>.
=Selected Publications=
<ref>[https://scholar.google.com/citations?user=dYpPMQEAAAAJ Demis Hassabis - Google Scholar Citations]</ref> <ref>[http://dblp.uni-trier.de/pers/hd/h/Hassabis:Demis dblp: Demis Hassabis]</ref>
==2009==
* [[Demis Hassabis]] ('''2009'''). ''The Neural Processes Underpinning Episodic Memory''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_College_London University College London], Supervisor [https://en.wikipedia.org/wiki/Eleanor_Maguire Eleanor A. Maguire], [http://static1.1.sqspcdn.com/static/f/1096238/22752296/1369317078327/DemisHassabisThesis.pdf pdf]
* [[Demis Hassabis]], [https://en.wikipedia.org/wiki/Eleanor_Maguire Eleanor A. Maguire] ('''2009'''). ''[http://rstb.royalsocietypublishing.org/content/364/1521/1263.short The construction system of the brain]''. [https://en.wikipedia.org/wiki/Philosophical_Transactions_of_the_Royal_Society Philosophical Transactions of the Royal Society] B: Biological Sciences, Vol. 364, No. 1521
==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>
* [[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
'''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]
* [[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]
'''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]], [[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]]
=External Links=
* [http://demishassabis.com/ DH - Home]
* [https://twitter.com/demishassabis Demis Hassabis (@demishassabis) | Twitter]
* [https://www.linkedin.com/in/demishassabis/ Demis Hassabis | LinkedIn]
* [https://scholar.google.com/citations?user=dYpPMQEAAAAJ Demis Hassabis - Google Scholar Citations]
* [https://en.wikipedia.org/wiki/Demis_Hassabis Demis Hassabis from Wikipedia]
==DeepMind==
* [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
* [http://www.telegraph.co.uk/technology/10602390/Demis-Hassabis-the-secretive-computer-boffin-with-the-400-million-brain.html Demis Hassabis: the secretive computer boffin with the £400 million brain] by [http://www.telegraph.co.uk/journalists/tom-rowley/ Tom Rowley], [https://en.wikipedia.org/wiki/The_Daily_Telegraph Telegraph], January 28, 2014
* [https://deepmind.com/blog/deepmind-office-canada-edmonton/ DeepMind expands to Canada with new research office in Edmonton, Alberta] by [[Demis Hassabis]], [[DeepMind]], July 5, 2017 » [[Richard Sutton]], [[Michael Bowling]]
* Demis Hassabis, CEO, DeepMind Technologies - The Theory of Everything, [https://en.wikipedia.org/wiki/YouTube YouTube] Video
: {{#evu:https://www.youtube.com/watch?v=rbsqaJwpu6A|alignment=left|valignment=top}}
==Gaming==
* [http://ratings.fide.com/card.phtml?event=401307 Hassabis, Demis FIDE Chess Profile]
* [http://www.cardplayer.com/poker-players/248516-demis-hassabis Demis Hassabis - Poker Player]
==AlphaGo==
* [https://googleblog.blogspot.com/2016/01/alphago-machine-learning-game-go.html Official Google Blog: AlphaGo: using machine learning to master the ancient game of Go] by [[Demis Hassabis]], January 27, 2016
* [http://www.theguardian.com/technology/2016/feb/16/demis-hassabis-artificial-intelligence-deepmind-alphago The superhero of artificial intelligence: can this genius keep it in check?] by [https://en.wikipedia.org/wiki/Clemency_Burton-Hill Clemency Burton-Hill], [[The Guardian]], February 16, 2016
* [https://deepmind.com/blog/exploring-mysteries-alphago/ Exploring the mysteries of Go with AlphaGo and China's top players] by [[Demis Hassabis]], [[DeepMind]], April 10, 2017
* [https://deepmind.com/blog/alphagos-next-move/ AlphaGo's next move] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], May 27, 2017
* [https://deepmind.com/blog/alphago-zero-learning-scratch/ AlphaGo Zero: Learning from scratch] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], October 18, 2017
=References=
<references />
'''[[People|Up one level]]'''
