Artificial neural networks (ANNs) are computational models inspired by the structure of the human brain, designed to recognize patterns and make decisions based on input data. These networks consist of layers of interconnected nodes, or “neurons,” that process information and pass it through layers to output predictions or classifications. ANNs are a key component of machine learning and deep learning, enabling machines to perform tasks like image recognition, natural language processing, and autonomous driving.
ANNs are used in a wide range of applications, from facial recognition and speech-to-text software to financial forecasting and medical diagnostics. As AI continues to advance, the role of artificial neural networks will grow, enabling machines to perform increasingly complex tasks and improving decision-making across industries.