An AI Chip is a type of microprocessor designed specifically to accelerate artificial intelligence (AI) tasks and workloads. These chips are engineered to perform complex calculations required for machine learning and deep learning efficiently. Unlike traditional processors that handle general computing tasks, AI chips often include specialized architectures and features, such as parallel processing capabilities, optimized memory access, and dedicated neural processing units (NPUs) that enhance their performance in executing AI algorithms. Common examples of AI chips include Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and other custom silicon designed for AI applications. The use of AI chips is critical in enabling advanced AI functionalities in various fields, such as image recognition, natural language processing, and autonomous systems. By providing the processing power necessary for these tasks, AI chips help to make AI technology more accessible and effective across different industries.
The AI chip developed by the University of Shanghai operates atop optical fibers, utilizing light for efficient data processing. This innovation reduces the reliance on traditional, bulky, and energy-consuming computers…