Artificial Intelligence (AI) is a branch of computer science focused on creating systems and machines that can perform tasks typically requiring human intelligence. These tasks include understanding natural language, recognizing images, making decisions, and solving problems. AI aims to develop algorithms and models that enable computers to simulate aspects of human cognition, allowing machines to operate autonomously or assist humans in complex tasks.

Machine Learning (ML) is a subset of AI that involves training computers to learn from data without being explicitly programmed for every specific task. Instead of following hard-coded rules, ML models analyze large amounts of data to identify patterns and make predictions or decisions. For example, ML can be used to recommend products, detect spam emails, or predict stock prices based on historical data.

Together, AI and ML are transforming many industries by enabling automation, improving accuracy, and providing insights from vast datasets. While AI encompasses a broad goal of creating intelligent systems, ML provides the practical techniques to achieve that goal through data-driven learning. As technology advances, AI and ML continue to expand their impact across fields like healthcare, finance, transportation, and entertainment.