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Forget chess, DeepMind’s training its new AI to play football

Researchers from DeepMind, the UK’s juggernaut AI lab, have forsaken the noble games of chess and Go for a more plebeian delight: football. The Google sister company yesterday published a research paper and accompanying blog post detailing its new neural probabilistic motor primitives (NPMP) — a method by which artificial intelligence agents can learn to operate physical bodies. Per the blog post: An NPMP is a general-purpose motor control module that translates short-horizon motor intentions to low-level control signals, and it’s trained offline or via RL by imitating motion capture (MoCap) data, recorded with trackers on humans or animals performing… This story continues at The Next Web https://ift.tt/rIedgYq Read full article: The Next Web
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Researchers in Italy and Germany unveil neuromorphic approach to robotics

Scientists have tapped neuromorphic computing to keep robots learning about new objects after they’ve been deployed. For the uninitiated, neuromorphic computing replicates the neural structure of the human brain to create algorithms that can deal with the uncertainties of the natural world. Intel Labs has developed one of the most notable architectures in the field: the Loihi neuromorphic chip. Loihi is comprised of around 130,000 artificial neurons, which send information to each other across a “spiking” neural network (SNN). The chips had already powered a range of systems, from an smart artificial skin to an electronic “nose” that recognizes scents emitted from… This story continues at The Next Web https://ift.tt/IR86aFU Read full article: The Next Web
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