Rule-based AI - A system that uses a set of rules or “if-then” statements to make decisions or take actions., Machine learning - The ability of a computer system to learn and improve from experience without being explicitly programmed., Deep learning - The study of algorithms that can learn and make decisions on their own without human intervention, using deep neural networks., Natural language processing - The ability of a computer system to interpret and understand human language, including written and spoken language., Expert systems - An AI system that is designed to mimic the decision-making capabilities of a human expert in a particular field or domain., Genetic algorithms - The study of algorithms that can evolve and optimize themselves over time to solve complex problems., Swarm intelligence - A type of AI that mimics the behavior of social insects, such as ants or bees, to solve problems or optimize solutions., Artificial general intelligence (AGI) - The theoretical concept of an AI system that is capable of general intelligence, or the ability to understand and learn any intellectual task that a human can., Artificial superintelligence (ASI) - The hypothetical concept of an AI system that surpasses human intelligence and is capable of solving problems that humans cannot.,

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