Neuromorphic test chip for Tiny AI
POLYN技术宣布其第一个神经morphic Analog Signal Processor (NASP) chip is packaged and evaluated, demonstrating proof of the technology’s brain-mimicking architecture. It is the first Tiny AI true analog design to be used next to sensors.
POLYN Technology is an innovative provider of ultra-low-power-performance NASP technology and a producer of unique Tiny AI chips and their associated IP.
“This achievement validates the intensive work of our multinational team,” said Aleksandr Timofeev, CEO and founder of POLYN Technology. “Our chip represents the most advanced technology bridging analog computations and the digital core. It is designed with neuroscience in mind, replicating pre-processing the primary cortical area of the human brain does at the periphery before learning at the center.”
The NASP chip enables full data processing disaggregation between the sensor node and the cloud. NASP is a true Tiny AI product targeted for raw data optimization and reducing the CPU load and amount of data forwarded to the cloud. The NASP chip is located right next to a sensor, forming the Tiny AI logical layer. It is an inference engine that uses already trained machine-learning models to make predictions.
Based on POLYN’s years of expertise, the “inference-only” approach is highly efficient for applications such as voice extraction, sound/vibration processing, measurements on wearables and more. It provides a huge advantage in power, accuracy, and latency.
The NASP test chip contains several neural networks. The chip is implemented in 55nm CMOS technology. Its design proves the NASP “neuron” model as well as the scalability of the technology and efficiency of the chip design automation tools developed by POLYN.
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