In the Google DeepMind Challenge Match being held in Seoul from 9th-15th March Lee Sedol resigned after the 186th move, when he realised that he was about 7 points behind and without hope of winning.
Congratulations to the DeepMind team, although some of the non-UK members may not be so happy about the GB flag being shown for AlphaGo (Lee obviously has a Korean flag).
Aja Huang, 5 dan, was their representative playing the moves on the board against Lee, who had Black.
“#AlphaGo WINS!!!! We landed it on the moon,” tweeted DeepMind CEO Demis Hassabis after the game. “So proud of the team!! Respect to the amazing Lee Sedol too.” At a jam-packed post-game press conference, Lee admitted “I was so surprised. Actually, I never imagined that I would lose.
The AlphaGo v Lee Sedol match is now less than 24 hours away. Are you ready? Will you be getting up early? What are you planning for the weekend? Watch our status page here.
At the Press Conference in Seoul this morning, Alphabet (parent company of Google) executive chairman Eric Schmidt said “The winner here, no matter who wins, is humanity”.
Lee Sedol seemed very confident from the various Korean news items, although he's backtracked a little at this Press Conference, being quoted by the BBC as saying "Playing against a machine is very different from an actual human opponent. Normally, you can sense your opponent’s breathing, their energy. And lots of times you make decisions which are dependent on the physical reactions of the person you’re playing against.
On Saturday 30 children from six schools in South Manchester attended a Go workshop at Greenbank school. Martin Harvey had used his connection with Cheadle Hulme School to contact the local Educational 'Gifted and Talented' scheme, who then sponsored the day and selected the children. Martin and Helen Harvey and Roger Huyshe were kept busy throughout.
While the children were just from years 3 and 4 (and 1 Y5), their attention was good, they learned the basics in the morning starting with Capture Go but progressing immediately to territory Go. In the afternoon they submitted to a hectic 5-round McMahon before parents came to collect them.
The matches will be held at the Four Seasons Hotel, Seoul, starting at 1pm local time (4am GMT) on the following days:
The games will be even (no handicap), with $1 million in prize money for the winner. If AlphaGo wins, the prize money will be donated to UNICEF, STEM and Go charities. The matches will be played under Chinese rules with a komi of 7.5 (the compensation points the player who goes second receives at the end of the match). Each player will receive two hours per match with three x 60 seconds byoyomi.
The delayed deciding third game of the 2015 British Championship was played on Sunday 14th February 2016 at Andrew Kay's mother's house (who provided curry at lunchtime).
Up to 100 fans watched the live relay on KGS in the British room by "BGAadmin" from 10:00.
After 299 moves it was found that Andrew Simons, playing black, was 15.5 ahead.
Andrew Simons is therefore the champion for the first time.
Lucas Baker (2d London), shown on the left left playing Baron Allday, won all his games to win the Cheshire Tournament. The event was held as normal at the Community Centre in Frodsham and alongside the Frodsham Chess Congress.
Others of the 30 players also winning all three games were three of the large team from Cheadle Hulme School: Daniel Atkinson (26k), Jack Nolan (18k) and Jason Brown (16k). In addition the runner-up, Tony Atkins (1k Reading), received a prize and Joel Barrett (20k Manchester) was awarded a prize for winning two games and being told the wrong handicap in his other.
Winners in the self-paired 13x13 side event were youth players Yusuf Ahmed for 12/19, Daniel Atkinson for 9/11 and Matthew Benton for 7/9.
British Go Journal 174, including the full report on the AlphaGo v Fan Hui match is now available online to members at http://www.britgo.org/bgj/bgj174
We're still getting additional media coverage of this match - see http://www.britgo.org/history/media for the latest.
The ancient Chinese game of Go is one of the last games where the best human players can still beat the best artificial intelligence players. Last year, the Facebook AI Research team started creating an AI that can learn to play Go.
Scientists have been trying to teach computers to win at Go for 20 years. We're getting close, and in the past six months we've built an AI that can make moves in as fast as 0.1 seconds and still be as good as previous systems that took years to build. Our AI combines a search-based approach that models every possible move as the game progresses along with a pattern matching system built by our computer vision team.
The researcher who works on this, Yuandong Tian, sits about 20 feet from my desk. I love having our AI team right near me so I can learn from what they're working on.
You can learn more about this research here: http://arxiv.org/abs/1511.06410
[He also posted a video: https://www.facebook.com/zuck/videos/10102619979032811/]
We've issued the following Press Release today (27th January 2016):
A computer program developed by Google DeepMind (AlphaGo) to play the Oriental game of Go has beaten the three-times European Go Champion and Chinese professional Fan Hui (shown on the right in the photo, courtesy of Google DeepMind). This is the first time that a Go-professional has lost such a match, and not only that, by a clean sweep in all 5 games. This signifies a major step forward in one of the great challenges in the development of artificial intelligence - that of game-playing.
These findings were reported in a peer-reviewed study published in the scientific journal Nature: Silver D. et al. Mastering the game of Go with deep neural networks and tree search.