AI algorithms are sets of rules and calculations that allow machines to learn from data, make decisions, and solve problems. These AI algorithms underpin various AI applications, from voice recognition and image classification to recommendation systems and predictive analytics. Common types include supervised learning, unsupervised learning, and reinforcement learning algorithms. Depending on the task, they might optimize accuracy, reduce error, or maximize reward. AI algorithms continuously evolve with new innovations like transformers, neural networks, and decision trees. Their effectiveness depends on the quality of input data, the algorithm’s design, and the goals of the system. Mastering AI algorithms is key to building intelligent, data-driven technologies.