The artificial intelligence behind self-driving cars, medical image analysis and other computer vision applications relies on what’s called deep neural networks.
Loosely modeled on the brain, these consist of layers of interconnected “neurons” — mathematical functions that send and receive information — that “fire” in response to features of the input data. The first layer processes a raw data input — such as pixels in an image — and passes that information to the next layer above, triggering some of those neurons, which then pass a signal to even higher layers until eventually it arrives at a determination of what …
