AI chips are specialized computer processors designed to efficiently perform artificial intelligence and machine learning tasks. They are optimized for operations such as matrix multiplications and parallel computations used in training and running neural networks. Examples include GPUs (graphics processing units), TPUs (tensor processing units), NPUs (neural processing units), and other custom accelerators built to handle the high computational demands of AI workloads with improved speed and energy efficiency compared to general-purpose CPUs.