A low-power AI chip designed specifically for real-time EEG analysis, serving as the core engine for next-generation Brain-Computer Interface (BCI) solutions. It supports multi-channel configurations with a compact and precise design.

Incorporates a Deep Learning Accelerator (DLA) to achieve high-efficiency, low-power real-time EEG decoding, providing a miniaturized, energy-saving, and highly accurate hardware solution for brain-computer interfaces.

Widely applicable to lightweight wearable devices for scenarios such as motor imagery, home health monitoring, attention tracking, and BCI control, driving the rapid advancement of smart healthcare and wearable technologies.