A neural network in artificial intelligence (AI) is a computational model inspired by the human brain’s structure. It consists of interconnected layers of nodes, or neurons, which process and transmit information. Neural networks learn from data by adjusting the weights of connections based on the input-output relationships, using techniques like backpropagation. They are particularly effective in tasks such as image recognition, natural language processing, and pattern recognition. By mimicking human cognitive functions, neural networks enable machines to make predictions, classify data, and recognize patterns, significantly advancing AI applications across various fields.