Neural networks are a key technology in artificial intelligence (AI) that are inspired by the human brain’s structure and ...

This means there are two important decisions to make before we train a artificial neural network: (i) the overall architecture of the system (how input nodes represent given examples, how many hidden ...

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

An artificial neural network typically consists of several layers composed of individual neurons. An input signal passes through these layers and is processed by artificial neurons in order to ...

Co-fonder and CTO, Paul Masters, described a novel way to arrange the elements of a chip to do both machine learning "training" -- where the neural network is developed -- as well as "inference ...

A Convolutional Neural Network (CNN ... of tiny pieces of an image that the network has previously been trained to recognize.