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
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