by John Power, Japan Correspondent for the E-Journal
Iyama makes good start in Honinbo defense: Iyama Yuta, or Honinbo Monyu, to give him the title he assumed when he qualified as Honorary Honinbo last year, made a good start in the 72nd Honinjbo title match. The challenger is Motoki Katsuya 8P, who, at 21, is six years Iyama’s junior and is the third-youngest challenger ever. If he were to win, he would be the youngest tournament Honinbo.
The first game was played at the Gifu Grand Hotel in Gifu City. Iyama drew black in the nigiri and scored a convincing win, securing a resignation after 147 moves. There was an interesting fight early in the game in which Iyama sacrificed some stones in exchange for a ponnuki facing the centre (on the 6th line). A ponnuki is said to be worth 30 points. By my count, White’s profit was worth 20 points or so; the professionals following the game on the spot diverged in their evaluation, some of them considering the result equal, while others
thought that White’s profit was slightly superior. This was apparently Motoki’s own opinion. Soon after, Iyama started a large-scale fight with the support of his ponnuki in the background. Motoki went wrong with White 84. Ironically, this move looked like good style but actually gave Black the chance to strike at a vital point. A white group under attack managed to live, but Black took the lead. Iyama’s endgame was then flawless, so an early resignation was unavoidable. This was a tough title-match baptism for Motoki, but at least he had a chance to get used to the atmosphere of two-day games. The second game was scheduled to be played on May 23 & 24.
Korea wins 6th Tiantai Mt. team tournament: This is a team tournament for three-woman teams from China, Korea, Japan, and Chinese Taipei. The full name is the Tiantai Mt. Agricultural & Commercial Bank Cup World Women’s Team Tournament. The 6th Cup was held in Taizhou City, Zhejiang Province, in China on May 10 to 12. Results were as follows:
Round 1 (May 10) China 2 beat Japan 1; Korea 3 beat Chinese Taipei 0
Round 2 (May 11) Korea 3 beat Japan 0; China 3 beat Chinese Taipei 0
Round 3 (May 12) Japan 2 beat Chinese Taipei 1; Korea 2 beat China 1
Placings: 1st, Korea (individual score: 8 wins, 1 loss); 2nd, China (6-3); 3rd, Japan (3-6); 4th: Chinese Taipei (1-8)
Once again, Japan was beaten by Korea and China, but there were some encouraging signs. On the top board, Fujisawa Rina had a good game against Che Cheong 7P of Korea, but missed her opportunities to wrap up the game. In the end, she lost by 1.5 points. Xie Yimin hasn’t delivered for Japan in international go, but she won her games against Lu Jia 2P of China and Zhang Kaixing 5P of Chinese Taipei. The third member of the Japanese team was Nyu Eiko 1P, who beat Zhang Zhengping 3P of Chinese Taipei.
Iyama maintains Meijin League lead: The 42nd Meijin League is looking more and more like a one-horse race. On May 18, Iyama Yuta scored his fifth straight win and leads the field by two points. Players with just two losses are Yamashita Keigo 9P (4-2), Murakawa Daisuke
(3-2), and Kono Rin 9P (3-2). Iyama will play Yamashita in June and Murakawa in July.
Recent results:
(May 11) Sakai Hideyuki 8P (W) beat Ko Iso 8P by 4.5 points.
(May 18) Iyama Yuta (W) beat Cho U 9P by resig.
Tomorrow: Kono starts well in Kisei S League; Yamashita becomes Gosei challenger; Murakawa wins Gratitude Cup; 4th Aizu Central Hospital tournament; Xie and Fujisawa reach final
In surprise announcement, AlphaGo retires; DeepMind to release 50 self-play games
Saturday May 27, 2017
AlphaGo is retiring. DeepMind’s Demis Hassabis and David Silver made the stunning announcement as the Future of Go Summit wrapped up in Wuzhen, China, saying that the match against world #1 Ke Jie represented “the highest possible pinnacle for AlphaGo as a competitive program” and would be the AI program’s final match.
“The research team behind AlphaGo will now throw their considerable energy into the next set of grand challenges, developing advanced general algorithms that could one day help scientists as they tackle some of our most complex problems, such as finding new cures for diseases, dramatically reducing energy consumption, or inventing revolutionary new materials,” Hassabis said. “If AI systems prove they are able to unearth significant new knowledge and strategies in these domains too, the breakthroughs could be truly remarkable. We can’t wait to see what comes next.”
DeepMind isn’t leaving the go community empty-handed, however. As a “special gift to fans of Go around the world,” DeepMind is publishing a special set of 50 AlphaGo vs AlphaGo games, which Hassabis and Silver said “we believe contain many new and interesting ideas and strategies for the Go community to explore.”
And while DeepMind doesn’t plan to give AlphaGo itself a wide release, Hassabis says he’s more than happy for others to make use of DeepMind’s research themselves. Programs like Tencent’s Fine Art and Japan’s DeepZenGo have used similar deep-learning techniques to achieve around 9th-dan level, according to Hassabis. DeepMind will soon publish another paper on how it architected the latest version of AlphaGo, AlphaGo Master, and Hassabis expects other companies to learn from the new research.
Also, Hassabis said that “We’re also working on a teaching tool – one of the top requests we’ve received throughout this week. The tool will show AlphaGo’s analysis of Go positions, providing an insight into how the program thinks, and hopefully giving all players and fans the opportunity to see the game through the lens of AlphaGo. We’re particularly honoured that our first collaborator in this effort will be the great Ke Jie, who has agreed to work with us on a study of his match with AlphaGo. We’re excited to hear his insights into these amazing games, and to have the chance to share some of AlphaGo’s own analysis too.”
Read more in The Verge and on the DeepMind website. photo courtesy The Verge