Artificial Neural Networks (ANNs) are computational models inspired by the structure and function of biological brains. Comprised of interconnected nodes or "neurons," they process data through layers to recognize patterns, learn from examples, and improve performance over time. ANNs are fundamental to deep learning, enabling tasks like image recognition, natural language processing, and complex decision-making.