Intelligent Machines are Teaching Themselves Quantum Physics - Motherboard

Last year, Google's DeepMind AI beat Lee Sedol at Go, a strategy game like chess, but orders of magnitude more complicated. The win was a remarkable step forward for the field of artificial intelligence, but it got Roger Melko, a physicist at the Perimeter Institute for Theoretical Physics, thinking about how neural networks--a type of AI modeled after the human brain--might be used to solve some of the toughest problems in quantum physics. Indeed, intelligent machines may be necessary to solve these problems. "The thing about quantum physics is it's highly complex in a very precise mathematical sense. A big problem we face when we study these quantum systems [without machine learning] is how to deal with this complexity," Melko told me.