AlphaGo, computer Go program, Google DeepMind, London, United Kingdom

[Airicist]

AlphaGo defeats Team Go, 26 May 2017

Published on May 26, 2017

In the “Future of Go Summit”, AlphaGo defeated Team Go, a five player team of China's top pro players: Chen Yaoye, Zhou Ruiyang, Mi Yuting, Shi Yue, Tang Weixing.

[Airicist]

The Future of Go Summit: AlphaGo Pair Go & Team Go

Streamed live May 26, 2017

Watch AlphaGo team up with some of China's top pro players to explore the hidden mysteries of the game in two exciting match formats:

Pair Go: where one Chinese pro will play against another with their own AlphaGo teammate, alternating moves, to take the concept of 'learning together' quite literally.

Team Go: where AlphaGo and a five player team of China's top pro players work together to test AlphaGo's creativity and adaptability to their combined style.

This is the livestream for Team & Pair Go to be played on Friday 26 May 08:30 CST (local), 01:30 BST and 12:30 CST (local), 05:30 BST.

[Airicist]

The Future of Go Summit, Match Three: Ke Jie & AlphaGo

Streamed live May 26, 2017

Watch AlphaGo and the world's number one Go player, Ke Jie, explore the mysteries of the game together in the third of three classic 1:1 matches. This is the livestream for match three to be played on Saturday 27 May 10:30 CST (local), 03:30 BST.

[Airicist]

Article "AlphaGo retires from competitive Go after defeating world number one 3-0"

by Sam Byford
May 27, 2017

[Airicist]

Article "No more playing games: AlphaGo AI to tackle some real world challenges"

by Geoff Goodhill
June 5, 2017

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Ke Jie and DeepMind's Go Ambassador Fan Hui review the 3rd AlphaGo vs Ke Jie game

Published on Sep 15, 2017

Watch world champion Go player Ke Jie and DeepMind's Go Ambassador Fan Hui review the three AlphaGo vs Ke Jie games played in the Future of Go summit in Wuzhen in May 2017. Their review is aided by real-time analysis from the same version of AlphaGo that played in Wuzhen (3 of 3).

[Airicist]

Article "AlphaGo Zero Shows Machines Can Become Superhuman Without Any Help"
An upgraded version of the game-playing AI teaches itself every trick in the Go book, using a new form of machine learning.

by Will Knight
October 18, 2017

[Airicist]

AlphaGo Zero: Discovering new knowledge

Published on Oct 18, 2017

DeepMind's Professor David Silver describes AlphaGo Zero, the latest evolution of AlphaGo, the first computer program to defeat a world champion at the ancient Chinese game of Go. Zero is even more powerful and is arguably the strongest Go player in history.

Previous versions of AlphaGo initially trained on thousands of human amateur and professional games to learn how to play Go. AlphaGo Zero skips this step and learns to play simply by playing games against itself, starting from completely random play. In doing so, it quickly surpassed human level of play and defeated the previously published champion-defeating version of AlphaGo by 100 games to 0.

If similar techniques can be applied to other structured problems, such as protein folding, reducing energy consumption or searching for revolutionary new materials, the resulting breakthroughs have the potential to positively impact society.

[Airicist]

AlphaGo's AI upgrade gets round the need for human input

Published on Oct 18, 2017

AlphaGo Zero, Google DeepMind's artificially intelligent Go player, dominates humans and other AIs by learning itself – without any human training

[Airicist]

AlphaGo: the next generation

Published on Oct 20, 2017

Has AI entered unchartered territory with the latest incarnation of AlphaGo? Sam Wong, Jacob Aron and Sally Adee discuss where the next generation of game-playing AIs will take us.

"AlphaGo’s AI upgrade gets round the need for human input"

by Timothy Revell
October 18, 2017