The term "artificial neural network" relates to a computational model inspired by the structure and function of the human brain. These networks consist of layers of interconnected nodes (neurons) that process information and learn from data through a training process. Artificial neural networks are particularly powerful for tasks involving pattern recognition, such as image and speech recognition. They are a core component of machine learning, enabling computers to make predictions and classifications based on complex input data.