Google research team, led by the Stanford University computer scientist Andrew Y. Ng and the Google fellow Jeff Dean, used an array of 16,000 processors to create a neural network with more than one billion connections. They then fed it random thumbnails of images, one each extracted from 10 million YouTube videos. "It basically invented the concept of a cat." Got 15.8% accuracy in recognizing 20,000 object categories unsupervised -- 70% relative improvement over state-of-the-art. "Contrary to what appears to be a widely-held intuition, our experimental results reveal that it is possible to train a face detector without having to label images as containing a face or not." - Adriano