![]() ![]() ![]() Late last year, AlphaZero, the next iteration of the A.I., not only taught itself to become the best chess player in the world in just four hours, it also mastered the chess-like Japanese game Shogi in two hours as well as Go in just days. More recently, in 2016, Deepmind’s AlphaGo beat the best human players of the Chinese game Go, a complex board game with thousands of possible moves each turn that some believed A.I. In 1997, IBM’s DeepBlue beat Gary Kasparov, the world’s best chess player, launching the era of digital chess supremacy. ![]() agents have slowly but surely dominated the world of games, and the ability to master beloved human strategy games has become one of the chief ways artificial intelligence is assessed. that learned to become a better backgammon player through trial and error. ĭavid Silver, principal research scientist at DeepMind, at a demo of AlphaStar in January.īack in 1992, IBM first developed a rudimentary A.I. In the months since, AlphaStar has only grown stronger and is now able to defeat 99.8 percent of StarCraft II players online, achieving Grandmaster rank in the game on the official site, a feat described today in a new paper in the journal Nature. lost the battle, it had already won the war a previous iteration had already defeated Komincz five times in a row and wiped the floor with his teammate, Dario “TLO” Wünsch, showing that AlphaStar had sufficiently mastered the video game, which machine learning researchers have chosen as a benchmark of A.I. The public loss in front of tens of thousands of eSports fans was a blow for Google parent company Alphabet’s London-based artificial intelligence subsidiary, DeepMind, which developed AlphaStar. Last January, during a livestream on YouTube and Twitch, professional StarCraft II player Grzegorz “MaNa” Komincz from Poland struck a blow for humankind when he defeated a multi-million-dollar artificial intelligence agent known as AlphaStar, designed specifically to pummel human players in the popular real-time strategy game. ![]()
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