AI’s Forward March: Machine Teaches Itself to Play Chess in 72 Hours

The field of artificial intelligence has had a rocky history with numerous setbacks, but there have been high points too, like when IBM’s Deep Blue beat reigning chess champion, Garry Kasparov, in 1997, or when another IBM machine, Watson, proved its mettle on the popular quiz show Jeopardy, in 2011. Now machine learning, and its sibling deep learning, are becoming ubiquitous, propelled by innovative algorithms and the continued democratization of computing power.Hearkening back to the historic Deep Blue match, a new kind of learning machine has again raised the stakes for AI by refining earlier brute force techniques with modern methods of deep learning, based on neural networks. As reported in MIT Technology Review, this is the first time that a machine has played chess by evaluating the board using something…


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