The document discusses artificial neural networks (ANN) as a type of machine learning where systems are trained to infer patterns from data through supervised learning by being given input-output examples to learn a mapping between inputs and outputs to approximate functions. ANNs are inspired by biological neural networks and are designed to mimic their learning abilities through a network of interconnected nodes that can learn relationships and patterns in data through experience.