The term "artificial neural network" refers to a machine learning model inspired by the biological neural networks in the human brain. These networks consist of layers of interconnected nodes, or neurons, which process and transform input data to make predictions or classifications. Neural networks are particularly powerful for tasks involving pattern recognition, such as image and speech recognition, due to their ability to learn complex relationships in data. They excel in handling unstructured data and are a fundamental component of deep learning technologies.