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Google AI Algorithm Masters Ancient Game of Go

GPU accelerated GoFor the first time, a computer has beaten a human professional at the game of Go — an ancient board game that has long been viewed as one of the greatest challenges for Artificial Intelligence.

Google DeepMind’s GPU-accelerated AlphaGo program beat Fan Hui, the European Go champion, five times out of five in tournament conditions.

Demis Hassabis, who oversees DeepMind, mentioned in a recent article that DeepMind’s deep learning system works pretty well on a single computer equipped with a decent number of GPU accelerators, but for the match against Fan Hui, the researchers used a larger network of computers that spanned about 170 GPUs. This larger computer network both trained the system and played the actual game, drawing on the results of the training.

The team confirmed they will use the same setup when they take on the Go world champion in South Korea.

Rémi Coulom, the French researcher behind what was previously the world’s top artificially intelligent Go player, has spent the past decade trying to build a system capable of beating the world’s best players, and now, he believes that system is here. “I’m busy buying some GPUs,” he says.

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My name is Sayed Ahmadreza Razian and I am a graduate of the master degree in Artificial intelligence .
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Related topics such as image processing, machine vision, virtual reality, machine learning, data mining, and monitoring systems are my research interests, and I intend to pursue a PhD in one of these fields.

جهت نمایش صفحه معرفی و رزومه کلیک کنید

My Scientific expertise
  • Image processing
  • Machine vision
  • Machine learning
  • Pattern recognition
  • Data mining - Big Data
  • CUDA Programming
  • Game and Virtual reality

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