STMicroelectronics combines signal processing and AI algorithms onto MEMS sensors

STMicroelectronics, a global semiconductor provider and a top manufacturer of Micro-Electro-Mechanical Systems (MEMS), has announced the launch of the Intelligent Sensor Processing Unit (ISPU), which combines a digital signal processor (DSP) suited to run AI algorithms and MEMS sensor on the same silicon.

In addition to reducing size over system-in-package devices and cutting power by up to 80 percent, merging sensor and AI puts electronic decision-making in the application Edge. Here, it facilitates the Onlife Era where innovative products enabled by smart sensors are able to sense, process, and take actions, bringing the fusion of technology and the physical world.

The Onlife Era acknowledges living with continuous assistance from connected technologies, enjoying natural, transparent interactions, and seamless transitions, with no discernible distinction between online and offline. With the ISPU, ST is enabling this era by helping to migrate intelligent processing into sensors that support the fabric of life: no longer at the Edge but inthe Edge.

ST’s ISPU provides substantial benefits in the four Ps: power consumption, packaging, performance, and price. The proprietary ultra-low-power DSP can be programmed in C, familiar to many engineers.

“While technically challenging, integrating ST’s sensors on the same piece of silicon with our ISPU does improve sensor-based systems from an online experience to an Onlife one,” said Andrea Onetti, executive VP, MEMS Sub-Group, STMicroelectronics. “It advances the sensor’s features to speed decision-making by reducing data transfers, enhancing privacy by keeping data local, while reducing size and power consumption, which cuts costs.”

It also allows quantized AI sensors to support full to single-bit-precision neural networks. This ensures superior accuracy and efficiency in tasks such as activity recognition and anomaly detection by analyzing inertial data.

“Moreover, the ISPU is easily programmable with commercial AI models and can ultimately operate with all of the leading AI tools,” added Onetti.