AlphaTensor is based on an AI system dubbed AlphaZero that DeepMind first debuted in 2018. AlphaZero is designed to play board games such as chess, Go and shogi.

DeepMind's AlphaZero, a game-playing AI that can best human world champions and state-of-the-art engines at chess, shogi, and Go, has completed peer review.

Google LLC’s DeepMind artificial intelligence research unit today detailed MuZero, a deep learning system that can master Go, chess and other games even if it’s not told the playing rules ...

Its AI backbone and algorithms worked in real time. Pre-planning for every possible move, after training against itself, let it handle whatever the competition played.

In a preprint paper, researchers at Alphabet's DeepMind detail MuZero, an algorithm that effectively teaches itself how to play Atari and board games.

Dr. Kenneth Regan's algorithms utilize tens of thousands of chess game datasets, along with the high-performance computing resources from the Center for Computational Research, to help determine if a ...

These can involve the same searches down trees of potential game states done by earlier chess algorithms, but in this case, the trees consist of the AI's own internal game models.

Complexity theory remains one of the great unsolved mathematical puzzles. Kenneth Regan is trying to figure it out.

Deep tech This AI chess engine aims to help human players rather than defeat them Maia's algorithms find mistakes that players should work on January 27, 2021 - 6:52 pm Image by: Tima Miroshnichenko ...

Meanwhile, the team hopes that interest in RBC will continue to grow so that AI algorithms continue to improve. So far, the game is far from mainstream, but Newman says one avid chess player—a high ...