Artificial intelligence Neural Networks can model mathematically the way biological brain works, allowing the machine to think and learn the same way the humans do- making them capable of recognizing things like speech, objects and animals like we do.

A neural network is a computational model inspired by the structure and function of the human brain. It consists of interconnected nodes, called neurons, organized in layers. Each neuron receives input signals, processes them, and then passes the output to the next layer. Through a process called training, neural networks learn to recognize patterns and relationships in data, making them capable of tasks such as classification, regression, clustering, and more. Artificial intelligence neural networks are a subset of artificial intelligence techniques that use neural network models to solve complex problems, learn from data, and make predictions or decisions.