DeepMind’s AlphaZero Defeats Leading Chess Game Engine

Alphabet’s London-based DeepMind loosed AlphaZero, its AI-powered system that can master games without human intervention, on Stockfish, the highest rated chess game engine, and crushed it. DeepMind developed the self-training method, dubbed deep reinforcement learning, specifically to attack strategy board game “Go,” and an earlier iteration of the system beat one of the world’s best “Go” players, although it needed human guidance. AlphaZero trained itself in chess in three days, rejecting red-marked moves after a mere 1,000 simulations. Continue reading DeepMind’s AlphaZero Defeats Leading Chess Game Engine

Sony PlayStation Vue and ESL Ink Deal for E-Sports Channel

Sony’s PlayStation Vue TV service is adding a channel devoted to e-sports, becoming the first such 24-hour linear TV network in the U.S. The channel, esportsTV, comes from competitive-gaming event producer ESL. PlayStation Vue’s Elite ($55 per month) and Ultra ($75 per month) levels will have access to esportsTV. It’s got plenty of competition, with free gaming on Twitch, YouTube and other platforms. Last month, ESL also signed a non-exclusive deal with Twitter to livestream about 1,500 hours of e-sports programming in 2017. Continue reading Sony PlayStation Vue and ESL Ink Deal for E-Sports Channel

OpenAI Rolls Out Virtual World, Google Opens DeepMind Lab

OpenAI, the Elon Musk-supported artificial intelligence lab, just debuted Universe, a virtual world that is a software training ground for everything from games to Web browsers. Universe begins with approximately 1,000 software titles, with games from Valve and Microsoft. OpenAI is also in discussions with Microsoft to add the Project Malmo platform, based on the game “Minecraft,” and hopes to add Google AI lab’s DeepMind Lab environment, which was just made public. The goal is that Universe will help machines develop flexible brainpower. Continue reading OpenAI Rolls Out Virtual World, Google Opens DeepMind Lab

Google DeepMind Speeds AI Learning with Computer Dreams

Google’s DeepMind division has improved the speed and performance of its machine learning system with technology whose attributes are similar to how animals are thought to dream. Dubbed “Unreal” (Unsupervised Reinforcement and Auxiliary Learning), the system learned to complete Labyrinth, a 3D maze, ten times faster than the best existing artificial intelligence software and can now play up to 87 percent of expert human players’ performance. DeepMind researchers will now be able to try out new ideas much more quickly. Continue reading Google DeepMind Speeds AI Learning with Computer Dreams