Developer - Google DeepMind
Home page - deepmind.com/research/highlighted-research/alphago
alphagomovie.com
AlphaGo on Wikipedia
AlphaZero, general reinforcement learning algorithm
Team:
Demis Hassabis
David Silver
Developer - Google DeepMind
Home page - deepmind.com/research/highlighted-research/alphago
alphagomovie.com
AlphaGo on Wikipedia
AlphaZero, general reinforcement learning algorithm
Team:
Demis Hassabis
David Silver
Article "Mastering the game of Go with deep neural networks and tree search"
by 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
January 27, 2016
Google DeepMind: Ground-breaking AlphaGo masters the game of Go
Published on Jan 27, 2016
In a paper published in Nature on 28th January 2016, we describe a new approach to computer Go. This is the first time ever that a computer program “AlphaGo” has defeated a human professional player.
The game of Go is widely viewed as an unsolved “grand challenge” for artificial intelligence. Games are a great testing ground for inventing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. The first classic game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952. But until now, one game has thwarted A.I. researchers: the ancient game of Go.
Despite decades of work, the strongest computer Go programs only played at the level of human amateurs. AlphaGo has won over 99% of games against the strongest other computer Go programs. It also defeated the human European champion by 5-0 in tournament games, a feat previously believed to be at least a decade away. In March 2016, AlphaGo will face its ultimate challenge: a 5-game challenge match in Seoul against the legendary Lee Sedol—the top Go player in the world over the past decade
This video tells the story so far...
With Demis Hassabis, Google DeepMind
The computer that mastered Go
Published on Jan 27, 2016
Go is an ancient Chinese board game, often viewed as the game computers could never play. Now researchers from Google-owned company DeepMind have proven the naysayers wrong, creating an artificial intelligence - called AlphaGo – which has beaten a professional Go player for the first time. In this Nature Video, we go behind the scenes to learn about the game, the programme and what this means for the future of AI.
Article "Google's artificial intelligence machine to battle human champion of 'Go'"
Lee Se-dol, 33, one of the world’s top players of the ancient Asian pastime, is confident he can beat Alphago. But he hasn’t seen improvements made to the system – and the match results could have implications far beyond the game
by Alex Hern
March 7, 2016
Match 1 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Started streaming March 9, 2016
AlphaGo team at DeepMind wins the first round against Lee Sedol!Watch DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. This is the livestream for Match 1 to be played on: 9th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 8th March 20:00 PT, 23:00 ET.
In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.
Match commentary by Michael Redmond (9-dan pro) and Chris Garlock.
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