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Et si l IA pouvait faire de nous de meilleurs joueurs d échecs ?

Et si l IA pouvait faire de nous de meilleurs joueurs d échecs ?
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A New Artificial Intelligence Makes Mistakes—on Purpose

To revist this article, visit My Profile, then View saved stories. It took about 50 years for computers to eviscerate humans in the venerable game of chess. A standard smartphone can now play the kind of moves that make a grandmasterâs head spin. But one artificial intelligence program is taking a few steps backward, to appreciate how average humans playâblunders and all. The AI chess program, known as Maia, uses the kind of cutting-edge AI behind the best superhuman chess-playing programs. But instead of learning how to destroy an opponent on the board, Maia focuses on predicting human moves, including the mistakes they make.

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This AI chess engine aims to help human players rather than defeat them

This AI chess engine aims to help human players rather than defeat them Maia s algorithms find mistakes that players should work on Shares Artificial intelligence has become so good at chess that its only competition now comes from other computer programs.Â Indeed, a human hasnât defeated a machine in a chess tournament in 15 years. Itâs an impressive technical achievement, but that dominance has also made top-level chess less imaginative, as players now increasingly follow strategies produced by soulless algorithms.Â But a newÂ research paperÂ shows that AI could still make the game better for us puny humans. The study authors developed a chess engineÂ with a difference. Unlike most of its predecessors, their system isnât designed to defeat humans. Instead, itâs programmed to play

Jon kleinbergAshton andersonCornell universityஆஷ்டன் ஆண்டர்சன்கார்னெல் பல்கலைக்கழகம்

Researchers built a new AI chess engine trained to play like a human

Researchers built a new AI chess engine trained to play like a human Shane McGlaun - Jan 27, 2021, 5:57am CST The first time a computer beat a human chess master happened in 1997 when IBM Deep Blue defeated champion, Gary Kasparov. AI systems have advanced in their ability to play chess to the point where no human has beaten a computer at a tournament in the last 15 years. A team of researchers from Tisch University have developed an AI chess engine that doesn’t seek to beat humans. Instead, this chess AI engine tries to play like a human to create a more enjoyable chess playing experience for people. Researchers on the project note that it also highlights how computers make decisions differently than humans and how that could potentially help humans learn to do better. One of the researchers in the project, Jon Kleinberg, says that chess is something humans study their entire lives to get good at.

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Chess engine sacrifices mastery to mimic human play

When it comes to chess, computers seem to have nothing left to prove. Since IBM’s Deep Blue defeated world chess champion Garry Kasparov in 1997, advances in artificial intelligence have made chess-playing computers more and more formidable. No human has beaten a computer in a chess tournament in 15 years. In new research, a team including Jon Kleinberg, the Tisch University Professor of Computer Science, developed an artificially intelligent chess engine that doesn’t necessarily seek to beat humans – it’s trained to play like a human. This not only creates a more enjoyable chess-playing experience, it also sheds light on how computers make decisions differently from people, and how that could help humans learn to do better.

Reid mcilroy youngJon kleinbergAshton andersonGarry kasparovMacarthur foundationTisch university professor of computer scienceMultidisciplinary university research initiativeEngineering research council of canadaNatural sciencesAssociation for computing machineryMicrosoft researchUniversity of torontoMicrosoft research awardCanada foundation for innovationTisch university professorComputer science