Memristors Enable Quick-Learning Neural Network

Inspired by brains, neural networks are composed of neurons (or nodes) and synapses, which are the connections between nodes. To train a neural network for a task, a neural network takes in a large set of questions and the answers to those questions. In this process of what’s called supervised learning, the connections between nodes are weighted more heavily or lightly to minimize the amount of error in achieving the correct answer.