At DeepMind, Alphabet’s AI labs, researchers built virtual video-game players that master the game by playing other bots. Most of the time, the bots played a capture-the-flag video game better than human game testers who are professional. DeepMind researcher Max Jaderberg said that the work, first described in the company blog last year, is moving towards “developing the fundamental algorithms” that could in the future lead to a “more human intelligence.” Not every lab, however, can afford the compute power required. Continue reading Bots Take On Gamers to Help Advance Artificial Intelligence

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