[Link] AlphaGo: Mastering the ancient game of Go with Machine Learning

ESRogs

DeepMind's go AI, called AlphaGo, has beaten the European champion with a score of 5-0. A match against top ranked human, Lee Se-dol, is scheduled for March.

Games are a great testing ground for developing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. Creating programs that are able to play games better than the best humans has a long history

[...]

But one game has thwarted A.I. research thus far: the ancient game of Go.

http://googleresearch.blogspot.com/2016/01/alphago-mastering-ancient-game-of-go.html

DeepMind's go AI, called AlphaGo, has beaten the European champion with a score of 5-0. A match against top ranked human, Lee Se-dol, is scheduled for March.

Games are a great testing ground for developing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. Creating programs that are able to play games better than the best humans has a long history

[...]

But one game has thwarted A.I. research thus far: the ancient game of Go.

http://googleresearch.blogspot.com/2016/01/alphago-mastering-ancient-game-of-go.html

Btw, I don't consider myself an AI expert. I am not sure what "AI expertise" entails, I guess knowing a lot about lots of things that include stuff like stats/ML but also other things, including a ton of engineering. I think an "AI expert" is sort of like "an airplane expert." Airplanes are too big for one person -- you might be an expert on modeling fluids or an expert on jet engines, but not an expert on airplanes.

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[Link] AlphaGo: Mastering the ancient game of Go with Machine Learning

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[Link] AlphaGo: Mastering the ancient game of Go with Machine Learning

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