AI processors are specialized computer chips designed to efficiently handle artificial intelligence tasks. Unlike traditional processors, they are optimized for parallel processing, allowing them to perform many calculations simultaneously. This makes them particularly effective for tasks like machine learning, natural language processing, and image recognition. These processors often incorporate unique architectures, such as neural networks, to mimic the way the human brain processes information. Companies like NVIDIA and Google have developed their own AI processors, such as TPUs (Tensor Processing Units), to accelerate AI applications in various fields, including healthcare, finance, and autonomous vehicles.