This is the ability of a computer to solve problems or make logical deductions based on facts and rules. For example, an AI program can find the best move in a chess game or prove a mathematical theorem.

This is the ability of a computer to improve its performance or knowledge based on data or experience. For example, an AI program can learn to identify objects in images or understand speech by analyzing many examples.

This is the ability of a computer to sense and interpret information from the environment. For example, an AI program can recognize faces in photos or detect sounds in audio.

This is the ability of a computer to understand and generate natural language, such as English or Hindi. For example, an AI program can answer questions or write summaries based on text.

This is the ability of a computer to control a physical device or robot that can move and interact with the world. For example, an AI program can drive a car or play soccer.

These are just some of the main goals of AI, but there are many more. AI researchers use different techniques and tools to achieve these goals, such as mathematical algorithms, artificial neural networks, statistics, probability, and economics. AI also draws inspiration from other fields, such as psychology, linguistics, philosophy, neuroscience, and biology.

AI is not only a fascinating topic to learn about, but also a powerful tool that can help us in many ways. However, AI also poses some ethical and social issues that we need to be aware of and address. For example, how can we ensure that AI is fair, safe, responsible, and beneficial for humans? How can we protect our privacy and security from AI? How can we prevent AI from harming or replacing humans? These are some of the questions that we need to think about as we develop and use AI.