The computer is based on a neural network of 16,000 processing cores with more than a billion interconnections, each very roughly simulating a connection in a human brain. A team from Googles cutting-edge research lab, Google X, and Stanford University, fed the system 10 million thumbnail images taken from YouTube as training and then tested whether it was able to recognise 20,000 objects in new images. It performed more than twice as accurately as any previous neural network, The New York Times reports Continue reading →