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An AI algorithm refers to a set of rules or instructions designed to enable artificial intelligence systems to perform specific tasks or solve problems autonomously. These algorithms are fundamental components of AI systems, enabling machines to analyze data, learn from patterns, make decisions, and adapt to changing environments. Examples include machine learning algorithms such as linear regression, support vector machines, neural networks, and deep learning models like convolutional neural networks (CNNs) and recurrent neural networks (RNNs). AI algorithms are developed using mathematical and statistical techniques, often requiring large datasets for training and validation to achieve accurate predictions and insights. They form the core of AI applications across various domains, from natural language processing and computer vision to robotics and autonomous vehicles, driving advancements in technology and enabling intelligent decision-making capabilities in complex scenarios.