Video in the link - http://mashable.com/2015/02/25/computer-wins-at-atari-games/

Google scientists have cooked up software that can do better than humans on dozens of Atari video games from the 1980s, like video pinball, boxing and Breakout. But computers don't seem to have a ghost of a chance at Ms. Pac-Man.

The aim is not to make video games a spectator sport, turning couch potatoes who play games into couch potatoes who watch computers play games. The real accomplishment: computers that can teach themselves to succeed at tasks, learning from scratch, trial and error, just like humans.

The computer program, called Deep Q-network, wasn't given much in the way of instructions to start, but in time it did better than humans in 29 out of 49 games, and in some cases, like video pinball, it did 26 times better, according to a new study released Wednesday by the journal Nature. It's the first time an artificial intelligence program bridged different types of learning systems, said study author Demis Hassabis of Google DeepMind in London.

Deep Q "can learn and adapt to unexpected things," said study author Demis Hassabis of Google DeepMind in London. "These types of systems are more human-like in the way they learn."


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Big PEMFin H & z's
"I ain't no entertainer, and ain't trying to be one. I am 1 thing, a musician." � Miles

"When the music stops he falls back in the abyss."

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Everything looks like Oprah kissing Harvey Weinstein these days