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Kurzweil 23/02/18 : "Deep-learning researchers have found that certain neurons in the brain have shape and electrical properties that appear to be well-suited for “deep learning” — the kind of machine-intelligence used in beating humans at Go and Chess. Canadian Institute For Advanced Research (CIFAR) Fellow Blake Richards and his colleagues -Jordan Guerguiev at the University of Toronto, Scarborough, and Timothy Lillicrap at Google DeepMind- developed an algorithm that simulates how a deep-learning network could work in our brains. It represents a biologically realistic way by, which real brains could do deep learning...
