In recent times, there has been a notable shift in artificial intelligence (AI) hardware development towards analog AI chips, deviating from the conventional reliance on digital processors. Analog chips distinguish themselves by processing information through continuous voltage signals, in contrast to the binary code (0s and 1s) used by digital processors. Analog AI chips excel in specific computations, such as matrix multiplication and signal processing, offering exceptional speed and energy efficiency. This makes them particularly suitable for real-time data-intensive applications like image and speech recognition. These chips have diverse applications, especially in edge computing devices where rapid local processing is crucial. Smart cameras, sensors, and Internet of Things (IoT) devices benefit from analog AI chips' attributes, including low power consumption and high-speed processing capabilities.