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
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But one game has thwarted A.I. research thus far: the ancient game of Go.
I don't see how we anything like know that deep NNs with ‘sufficient training data’ would be sufficient for all problems. We've seen them be sufficient for many different problems and can expect them to be sufficient for many more, but all?