AlphaZero Annihilates World's Best Chess Bot After Just Four Hours of Practicing

AlphaZero Annihilates World's Best Chess Bot After Just Four Hours of Practicing”

"Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a world-champion program in each case", they said in a paper published by Cornell University in the USA but which has yet to be peer reviewed.

AlphaZero is now the most dominant chess playing entity on the planet. At least, that's the case with Google's newest AI installment AlphaZero.

Chess has always been used to test the ability of artificial intelligence because the game's rigid structure is ideal for programming a computer with rules, and then letting it run its own tests against those rules.

AlphaZero was also pitted against its sibling, AlphaGo, which was also modified to play chess. "AlphaZero and DeepMind then went on to dominate chess, eventually solving the game and finally enslaving the human race as pets".

The firm's DeepMind division says that it played 100 games against Stockfish 8. In a closed-door event, AlphaZero defeated Stockfish in 28 out of 100 games, tying the other 72 matches, ending the bout with zero losses.

AlphaZero defeated Stockfish in 25 games, in which it had white pieces. It also rules the chess board-AlphaZero took down Stockfish, the sophisticated open-source chess engine that many players use to prepare for big matches. The software was first released in 2008 and has been built by volunteers in the years since.

"We now know who our new overlord is", David Kramaley, who manages chess education website Chessable, said. In October, DeepMind CEO Demis Hassabis said, "If [AlphaZero] can be applied to other structured problems, such as protein folding, reducing energy consumption, or searching for revolutionary new materials, the resulting breakthroughs have the potential to drive forward human understanding and positively impact all of our lives". "This algorithm could run cities, continents, universes".

In May this year, the previous iteration of AlphaZero successfully beat China's 19-year-old Ke Jie, described as a prodigy player of the board game Go.

It learnt by playing simulations against itself. Its predecessor - dubbed AlphaGo Zero - was recently retired after trashing human opponents. This was believed to help the fledgling software improve its game.

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