American Go E-Journal » Computer Go/AI

Myungwan Kim 9P to Analyze Fan Hui-AlphaGo games this Friday

Thursday January 28, 2016

Myungwan Kim 9P will analyze the Fan Hui-AlphaGo games on the AGA YouTube and TwitchTV channels this Friday at 9p EST (6p PST). And for the first time, the broadcast will be simulcast on weiqitv.com in China. Yesterday’s news2016.01.28_nature-cover that Google’s go-playing AI, AlphaGo, had swept Fan Hui 2P 5-0 rocketed around the world, receiving international coverage including write-ups in the New York Times, Bloomberg News, the BBC, Wall 2016.01.28_myungwan-kimStreet Journal, MIT Technology Review, Wired, NPR and blowing up on the AGA’s  Facebook and Twitter feeds.

“I was shocked at how Alphago played,” Kim (left) told the E-Journal. “It played like a human professional. I am sad that this computer program might beat me, but I don’t think it can beat Lee Sedol. I will tell you why in my commentary.” Google DeepMind, the British artificial intelligence company which developed AlphaGo, has issued a challenge to Lee Sedol 9P from South Korea, the top player in the world for much of the last 10 years, to play a 5-game, million-dollar match in March. Andrew Jackson will host the livestream broadcast.

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Google and Facebook Race to Solve Go

Sunday December 13, 2015

“Inside companies like Google and Facebook, deep learning is proving remarkably adept at recognizing images and grasping spacial patterns—a skill well suited to Go,” reported Cade Metz in Wired last week . “As they explore so many other opportunities this technology presents, Google and Facebook are also racing to see whether it can finally crack the ancient game. As Facebook AI researcher Yuandong Tian explains, Go is a classic AI problem—a problem that’s immensely attractive because it’s immensely difficult. The company believes that solving Go will not only help refine the AI that drives its popular social network, but also prove the value of artificial intelligence. Rob Fergus, another Facebook researcher, agrees. “The goal is advancing AI,” he says. But he also acknowledges that the company is driven, at least in a small way, by a friendly rivalry with Google. There’s pride to be found in solving the game of Go.” For more on Facebook’s research, check out “How Facebook’s AI Researchers Built a Game-Changing Go Engine” in the MIT Technology Review last week.

Smart Go’s Anders Kierulf also recently published a blog post on “Go at Facebook”, saying that “As long as Facebook and Google stick with trying to find general solutions to general problems, I don’t think top Go programs like Zen and Crazy Stone have anything to worry about. But once these giants decide to beat the strongest human players and are willing to focus on Go-specific solutions, it will get interesting.” Check out also his explainer on Monte Carlo Tree Search and his post about the impact of the Swift programming language on his go programs.

 

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