Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI's ultimate goal is to enable machines to perform cognitive functions typically associated with human minds. Machine Learning (ML) is a subset of AI that focuses on developing algorithms allowing computers to learn from data. Instead of being explicitly programmed, ML systems identify patterns and make predictions or decisions based on analyzed data. Deep Learning (DL) is a specialized subset of Machine Learning that uses artificial neural networks with multiple layers. These 'deep' networks process complex data like images, sound, and text, often leading to highly accurate results in tasks such as facial recognition and natural language understanding. DL models automatically extract features from raw data, a significant advancement over traditional ML.