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Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and perform tasks that typically require human intelligence. It is a branch of computer science that aims to create intelligent agents or systems capable of learning, reasoning, problem-solving, perceiving their environment, and interacting with it in a way that mimics human intelligence. AI can be broadly categorized into two types: Narrow AI (Weak AI): This type of AI is designed to perform specific tasks or solve particular problems. Examples of narrow AI include virtual assistants like Siri and Alexa, recommendation systems used by online platforms, and chatbots that handle customer service inquiries. Narrow AI operates within a predefined set of rules and cannot generalize beyond the tasks they are designed for. General AI (Strong AI): General AI aims to possess human-like intelligence and abilities. It would be capable of understanding, learning, and applying knowledge across a wide range of tasks, just like a human being. True general AI, which is still theoretical and not yet achieved, would have the capacity to think abstractly, reason, and adapt to new situations without being explicitly programmed for them. AI systems can employ various techniques, including machine learning, deep learning, natural language processing, computer vision, and robotics. Machine learning, in particular, is a significant subset of AI, where algorithms enable machines to learn from data and improve their performance over time without being explicitly programmed for every possible scenario. AI has found applications in numerous fields, such as healthcare, finance, transportation, education, and entertainment, among others. As AI technology continues to advance, it holds the potential to bring about significant changes and benefits to society, but it also raises ethical and societal concerns that need careful consideration and regulation.