How AlphaZero Learns Chess?

DeepMind and Google Brain researchers and former World Chess Champion Vladimir Kramnik explore how human knowledge is acquired and how chess concepts are represented in the AlphaZero neural network via concept probing, behavioral analysis, and an examination of its activations. The world has quietly crowned a new chess champion. While it has now been over two decades since a human has been honored with that title, the latest victor represents a breakthrough in another significant way: It's an algorithm that can be generalized to other learning tasks. AlphaZero, the new reigning champion, acquired all its chess know-how in a mere four hours. AlphaZero is almost as different from its fellow AI chess competitors as Deep Blue was from Gary Kasparov, back when the latter first faced off against a supercomputer in 1996.