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Chess: AI-Alerts

AI Ruined Chess. Now, It's Making the Game Beautiful Again


Chess has a reputation for cold logic, but Vladimir Kramnik loves the game for its beauty. "It's a kind of creation," he says. His passion for the artistry of minds clashing over the board, trading complex but elegant provocations and counters, helped him dethrone Garry Kasparov in 2000 and spend several years as world champion. Yet Kramnik, who retired from competitive chess last year, also believes his beloved game has grown less creative. He partly blames computers, whose soulless calculations have produced a vast library of openings and defenses that top flight players know by rote.

Rise of the machines: AI thrashes humans in multiplayer shooter 'Quake III Arena'

The Japan Times

WASHINGTON - It's official: the machines are going to destroy you (if, that is, you're a professional gamer). A team of programmers at a British artificial intelligence company has designed automated "agents" that taught themselves how to play the seminal first-person shooter "Quake III Arena," and became so good they consistently beat human opponents. The work of the researchers from DeepMind, which is owned by Google's parent company, Alphabet Inc., was described in a paper published in Science on Thursday and marks the first time the feat has ever been accomplished. To be sure, computers have been proving their dominance over humans in one-on-one turn-based games such as chess ever since IBM's Deep Blue beat Garry Kasparov in 1997. More recently, a Google AI agent beat the world's No. 1 go player in 2017.

In 1983, This Bell Labs Computer Was the First Machine to Become a Chess Master

IEEE Spectrum

Chess is a complicated game. It's a game of strategy between two opponents, but with no hidden information and all of the potential moves known by both players at the outset. With each turn, players communicate their intent and try to anticipate the possible countermoves. The ability to envision several moves in advance is a recipe for victory, and one that mathematicians and logicians have long found intriguing. Despite some early mechanical chess-playing machines--and at least one chess-playing hoax--mechanized chess play remained hypothetical until the advent of digital computing.

Robots have already mastered games like chess and Go. Now they're coming for Jenga.

Washington Post - Technology News

For several decades, various types of artificial intelligence have been facing off with people in highly competitive games and then quickly destroying their human competition. AI long ago mastered chess, the Chinese board game Go and even the Rubik's cube, which it managed to solve in just 0.38 seconds. Now machines have a new game that will allow them to humiliate humans: Jenga, the popular game ---- and source of melodramatic 1980s commercials ---- in which players strategically remove pieces from an increasingly unstable tower of 54 blocks, placing each one on top until the entire structure collapses. A newly released video from MIT shows a robot developed by the school's engineers playing the game with surprising precision. The machine is quipped with a soft-pronged gripper, a force-sensing wrist cuff and an external camera, allowing the robot to perceive the tower's vulnerabilities the way a human might, according to Alberto Rodriguez, the Walter Henry Gale career development assistant professor in the Department of Mechanical Engineering at MIT. "Unlike in more purely cognitive tasks or games such as chess or Go, playing the game of Jenga also requires mastery of physical skills such as probing, pushing, pulling, placing, and aligning pieces," Rodriguez said in a statement released by the school.

One Giant Step for a Chess-Playing Machine


In early December, researchers at DeepMind, the artificial-intelligence company owned by Google's parent corporation, Alphabet Inc., filed a dispatch from the frontiers of chess. A year earlier, on Dec. 5, 2017, the team had stunned the chess world with its announcement of AlphaZero, a machine-learning algorithm that had mastered not only chess but shogi, or Japanese chess, and Go. The algorithm started with no knowledge of the games beyond their basic rules. It then played against itself millions of times and learned from its mistakes. In a matter of hours, the algorithm became the best player, human or computer, the world has ever seen.

How a computer beat the best chess player in the world

BBC News

Twenty years ago IBM's Deep Blue defeated previously unbeaten chess grandmaster Gary Kasparov. Its designers tell the BBC how they won and what it means for computing.