Industry specialization and AI are becoming the development trend of MCU, especially mid-to-high-end MCU. According to statistics, general-purpose MCU accounts for more than 70% of the microcontroller market. However, with the increasing degree of industry application segmentation, the trend of industry specialization of mid-to-high-end MCU is obvious. For example, in the fields of motor control, power control and automotive domain control, special MCUs are the main ones; in terms of algorithms, control refinement brings challenges to traditional control algorithms. AI deep learning algorithms can solve the shortcomings of traditional algorithms and bring greater value to low-computing devices. For example, embedded AI can effectively make up for the shortcomings of traditional algorithms in equipment condition detection, predictive maintenance, and equipment life extension.

HiSilicon A² MCU takes industry specialization and lightweight embedded AI as its core design concept, adopts HiSilicon's self-developed RISC-V high-performance core, is designed for motor control and power supply fields, has built-in rich high-precision analog resources, combined with high real-time loop control technology, as well as HiSilicon's self-developed MCU algorithms and embedded AI technology, to provide special solutions for industries such as home appliances, energy, industry and automobiles.