John J. Hopfield - Prominent physicist and creator of the Hopfield network discusses with us the roots and future of artificial intelligence. He explains why copying biology "one-to-one" is a dead end, and why real progress requires capturing the essence of synaptic phenomena and the social context of the technology. He reveals how successive revolutions - from the perceptron to deep learning - are leading to AI that can make more efficient use of scarce computing resources, and why physics and biology need to join forces again to solve the biggest problems of machine intelligence. Join us for an interview, Maciej Kawecki & John J. Hopfield | This is IT.