Inside the (deep) mind of AlphaZero

It was a long time coming, but the wait is over. After nearly a full year, being ping-ponged from one peer reviewer to the next, the final paper on AlphaZero is out, shedding light on a number of hitherto unknown or misunderstood elements in its construction, not to mention some clarifications and corrections. These include sample code to help implement their work and all the games of the match against Stockfish, of which 20 were specially chosen by GM Matthew Sadler. | Graphic: Deep Mind

DeepMind AI teaches itself chess from scratch in four hours, proceeds to beat previous champion

Inside the (deep) mind of AlphaZero

Acquisition of chess knowledge in AlphaZero

Deep Mind AI Alpha Zero Sacrifices a Pawn and Cripples Stockfish for the Entire Game

Google DeepMind on X: How does #AlphaZero gain understanding of human concepts through chess? ♟️ Published in @PNASNews, a multi-year collaboration with Grandmaster Vladimir Kramnik reveals how the neural network's representations share

Comparison of network architecture of AlphaZero and NoGoZero+ (5

AQUACITY on X: AlphaZero's Unstoppable Journey! ♟🌟 Google's DeepMind AI has transformed the gaming world again, mastering chess in just 4 hours and taking down the champion program Stockfish 8! 🎲🏆 #AlphaZero #

AlphaZero Chess: How It Works, What Sets It Apart, and What It Can Tell Us, by Maxim Khovanskiy

Google DeepMind's 'superhuman' AlphaZero computer taught ITSELF to beat humans at chess, shogi and Go