Artificial Intelligence (AI): AI refers to the broader concept of creating machines that can perform tasks that typically require human intelligence. It aims to build systems that can reason, learn, perceive, and make decisions. The ultimate goal of AI is to create machines that can mimic human intelligence or even surpass it.

Machine Learning (ML): Machine Learning is a subset of AI. It involves teaching machines to learn from data without explicit programming. Instead of telling a computer exactly how to perform a task, you provide it with examples and let it figure out patterns and rules on its own. ML algorithms improve their performance over time as they gain more data and experience.

Deep Learning (DL): Deep Learning is a specialized type of Machine Learning that utilizes artificial neural networks, inspired by the structure of the human brain. These neural networks consist of layers of interconnected nodes and can learn to recognize patterns and features in vast amounts of data. DL is particularly effective for tasks like image and speech recognition, natural language processing, and playing games.