Artificial neural networks relate to machine learning and artificial intelligence. They are designed to simulate the way human brains operate, allowing systems to learn from data, recognize patterns, and make decisions or predictions. These networks consist of interconnected nodes (neurons) that process and analyze input information, making them fundamental in applications such as image and speech recognition, natural language processing, and autonomous systems.