POLYN Technology has announced the successful manufacturing and testing of the world’s first silicon-proven implementation of its unique NASP (Neuromorphic Analog Signal Processing) technology.
The NASP platform employs trained neural networks in the analog domain to perform AI inference with much lower power consumption than conventional digital neural processors.
NASP chips with AI cores process sensor signals in their native analog form in microseconds, using microwatt-level power and eliminating all overhead associated with digital operations. This is ideal for always-on edge devices. Application-specific NASP chips can be designed for a diverse range of edge AI applications, including audio, vibration, wearable, robotics, industrial, and automotive sensing.
NASP technology and POLYN’ design tools automatically convert trained digital neural network models into ultra-low-power analog neuromorphic cores ready for manufacturing in standard CMOS processes. The testing confirmed the chip’s parameters strictly match its model.
This first chip contains a VAD core for real-time voice activity detection. It marks the first step toward a new level of voice processing offered by POLYN. It will be followed by other cores POLYN is developing for speaker recognition and voice extraction, enhancing home appliances, critical communications headsets, and other voice-controlled devices.
Customers developing products with ultra-low power voice control can apply online for the NASP VAD chip evaluation kit.
POLYN’s NASP technology and design tools give semiconductor and AI developers a new way to quickly implement neural networks directly in analog silicon. It offers process-agnostic design across 40–90 nm CMOS nodes and automatic conversion from digital ML models.
POLYN is preparing evaluation kits for early adopters and extending the implementation of its NASP product families for automotive, critical communication, and wearable applications.
