In the company’s neuromorphic analog solution, neurons are physically implemented as a circuitry element that works with analog signals according to the mathematical simulation of a single neuron. The device is offered as the first Tiny AI true analog design to be used next to sensors.
“This achievement validates the intensive work of our multinational team,” says 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, says the company, and truly embodies the Tiny AI concept. The NASP test chip contains several neural networks and is implemented in 55-nm CMOS technology.
Its design, says the company, proves the NASP “neuron” model as well as the scalability of the technology and efficiency of the chip design automation tools developed by POLYN.
“Our first chip is created from trained neural networks by NASP Compiler and synthesis tools that generated Netlist and the silicon engineering files from the software math model simulation,” says Yaakov Milstain, COO of POLYN. “We will continue to refine our technology for creation of new generation chips.”
The company says that it anticipates the chip will be available to customers in the first quarter of 2023 as its first wearables product, with a fusion of PPG and IMU sensors for the most accurate heart rate measurement along with recognition and tracking of human activity.