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Artificial intelligence (AI) is a computer program or machine that can learn and mimic human thinking. It is also described as a system’s ability to understand external data, learn from it, and use what it has learned to achieve specific goals or tasks through adaptation. The term AI is sometimes used to refer specifically to neural networks or deep learning. AI is often framed as enabling intelligent behavior—such as perceiving information from the environment, reacting to it, and improving chances of success. The content also distinguishes between strong AI (aiming to build machines that can think like people) and weak AI (building systems that support humans). In practice, AI is used across many areas, including speech and image recognition, robotics, natural language processing, translation, predictive analytics, medical diagnostics, fraud detection, and control of physical processes.
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Artificial intelligence is the ability of a computer program or machine to understand external data, learn from it, and use what it has learned to achieve specific goals or tasks. AI systems adapt by analyzing information, recognizing patterns, making decisions, and improving their chances of success. This learning supports applications such as speech and image recognition, medical diagnosis, fraud detection, recommendation systems, autonomous vehicles, and language translation. AI can be designed for narrow tasks or broader problem-solving. Intelligent systems are expected to perceive their surroundings, respond meaningfully, solve problems, and adjust their actions when conditions change. Agentic AI extends this idea by allowing autonomous systems or software agents to make decisions and work independently or cooperatively toward predetermined objectives. However, current AI remains limited: it does not learn, understand context, use common sense, or experience emotions in the same way humans do, and most systems are specialized rather than generally intelligent.
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