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, | + | 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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Revision as of 09:45, 1 March 2019
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.
Contents
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
2009
- Demis Hassabis (2009). The Neural Processes Underpinning Episodic Memory. Ph.D. thesis, University College London, Supervisor Eleanor A. Maguire, pdf
- Demis Hassabis, Eleanor A. Maguire (2009). The construction system of the brain. Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 364, No. 1521
2015 ...
- Joel Z. Leibo, Julien Cornebise, Sergio Gómez, Demis Hassabis (2015). Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation. arXiv:1512.08457 [12]
- 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). Human-level control through deep reinforcement learning. Nature, Vol. 518
2016
- Dharshan Kumaran, Demis Hassabis, James L. McClelland (2016). What learning systems do intelligent agents need? Complementary Learning Systems Theory Updated. Trends in Cognitive Sciences, Vol. 20, No. 7, pdf
- 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
- 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. arXiv:1612.00796
2017
- David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, 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). Mastering the game of Go without human knowledge. Nature, Vol. 550 [13]
- 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 » AlphaZero
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). A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science, Vol. 362, No. 6419 [14]
External Links
- DH - Home
- Demis Hassabis (@demishassabis) | Twitter
- Demis Hassabis | LinkedIn
- Demis Hassabis - Google Scholar Citations
- Demis Hassabis from Wikipedia
DeepMind
- Demis Hassabis: 15 facts about the DeepMind Technologies founder | Technology by Samuel Gibbs, The Guardian, January 28, 2014
- Demis Hassabis: the secretive computer boffin with the £400 million brain by Tom Rowley, Telegraph, January 28, 2014
- 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, YouTube Video
Gaming
AlphaGo
- Official Google Blog: AlphaGo: using machine learning to master the ancient game of Go by Demis Hassabis, January 27, 2016
- The superhero of artificial intelligence: can this genius keep it in check? by Clemency Burton-Hill, The Guardian, February 16, 2016
- Exploring the mysteries of Go with AlphaGo and China's top players by Demis Hassabis, DeepMind, April 10, 2017
- AlphaGo's next move by Demis Hassabis and David Silver, DeepMind, May 27, 2017
- AlphaGo Zero: Learning from scratch by Demis Hassabis and David Silver, DeepMind, October 18, 2017
References
- ↑ Demis Hassabis (@demishassabis) | Twitter
- ↑ Demis Hassabis (@demishassabis) | Twitter
- ↑ DH - Bio
- ↑ Demis Hassabis: 15 facts about the DeepMind Technologies founder | Technology by Samuel Gibbs, The Guardian, January 28, 2014
- ↑ Fan Hui at Sensei's Library
- ↑ AlphaGo | Google DeepMind
- ↑ Game Over? AlphaGo Beats Pro 5-0 in Major AI Advance « American Go E-Journal, January 27, 2016
- ↑ 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
- ↑ 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
- ↑ Demis Hassabis - Google Scholar Citations
- ↑ dblp: Demis Hassabis
- ↑ Cortical column - Hubel and Wiesel studies - Wikipedia
- ↑ AlphaGo Zero: Learning from scratch by Demis Hassabis and David Silver, DeepMind, October 18, 2017
- ↑ 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
