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Machine Learning (ML): Systems that learn from data to make predictions or decisions.

Deep Learning: A subset of ML using neural networks for tasks like image and speech recognition.

Natural Language Processing (NLP): Enables machines to understand and generate human language.

Computer Vision: Allows computers to interpret and analyze visual data from the world.

Robotics: Combines AI with hardware to perform tasks autonomously.

Expert Systems: Mimic human decision-making using rule-based logic.

Reinforcement Learning: AI learns by trial and error to achieve goal.