An Artificial Neural Network (ANN) is a computer system inspired by the way the human brain works. It consists of interconnected nodes, or "neurons," that process information in layers. Each neuron receives input, applies a mathematical function, and passes the output to the next layer. This structure allows ANNs to learn from data, making them useful for tasks like image recognition and language processing. Training an ANN involves adjusting the connections between neurons based on the data it processes. This learning process is often guided by algorithms like backpropagation, which helps the network improve its accuracy over time. ANNs are widely used in various fields, including artificial intelligence and machine learning.