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.

Read the original research paper at https://www.nature.com/nature/journal/v529/n7587/full/nature16961.html

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

Deep Blue photo credit courtesy of International Business Machines Corporation, © International Business Machines Corporation.

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 5 to be played on: 15th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 14th March 21:00 PT, 00:00 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.

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 3 to be played on: 12th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 11th 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.

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 2 to be played on: 10th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 9th 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.

Post Match Press Conference with Demis Hassabis and 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 4 to be played on: 13th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 12th 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.

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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Sources:

Why AlphaGo is NOT an "Expert System": https://googleblog.blogspot.com.au/2016/01/alphago-machine-learning-game-go.html

“Inside DeepMind” Nature video:
https://www.youtube.com/watch?v=xN1d3qHMIEQ

“AlphaGo and the future of Artificial Intelligence” BBC Newsnight: https://www.youtube.com/watch?v=53YLZBSS0cc

http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html

http://www.ft.com/cms/s/2/063c1176-d29a-11e5-969e-9d801cf5e15b.html

http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html#tables

https://www.technologyreview.com/s/533741/best-of-2014-googles-secretive-deepmind-startup-unveils-a-neural-turing-machine/

https://medium.com/the-physics-arxiv-blog/the-last-ai-breakthrough-deepmind-made-before-google-bought-it-for-400m-7952031ee5e1

https://www.deepmind.com/

www.forbes.com/sites/privacynotice/2014/02/03/inside-googles-mysterious-ethics-board/#5dc388ee4674

https://medium.com/the-physics-arxiv-blog/the-last-ai-breakthrough-deepmind-made-before-google-bought-it-for-400m-7952031ee5e1#.4yt5o1e59

http://www.theverge.com/2016/3/10/11192774/demis-hassabis-interview-alphago-google-deepmind-ai

https://en.wikipedia.org/wiki/Demis_Hassabis

https://en.wikipedia.org/wiki/Google_DeepMind

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