Bonsai-based start-up California has worked out how to beat Google-owned DeepMind at its own game - it's designed a way to teach artificial intelligence systems how to interact with the world. The technique, which the company has called "concept networks", substantially increases the efficiency of reinforcement learning, the process of training computers to learn through repeated actions that underpins DeepMind. While it took DeepMind's system one million cycles to learn how to grasp and stack a block (meaning it took a robotic arm a million attempts to complete the task in a simulated environment), California's took only 22,000 cycles.
California-based start-up Bonsai has worked out how to beat Google-owned DeepMind at its own game - it's designed a way to teach artificial intelligence systems how to interact with the world. The technique, which the company has called "concept networks", substantially increases the efficiency of reinforcement learning, the process of training computers to learn through repeated actions that underpins DeepMind. While it took DeepMind's system one million cycles to learn how to grasp and stack a block (meaning it took a robotic arm a million attempts to complete the task in a simulated environment), Bonsai's took only 22,000 cycles.