By submitting this form, you are agreeing to the Terms of Use and Privacy Policy.
Technology for Neuromorphic Analog Signal Processing (NASP) is built on a number of significant innovations. First, it is a neural network operation (inference) in the analogue neuro core that is carried out independently from its training in a digital framework and has fixed weights and structure
.
An analogue data processor modeled after the biological brain is known as a neuromorphic chip. The words neuro and morphic, which together mean having the shape, form, or structure, are the roots of the word neuromorphic, which itself means related to nerves or the neurological system.
These chips can interpret sensory data thanks to their conceptual architecture and respond in non-programmed ways.
The Global Neuromorphic Analog Signal Processor market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.
The sensor node paradigm can be advanced by using neuromorphic analogue signal processing (NASP), according to a white paper released by POLYN Technology.
It discusses the fundamentals of neuromorphic analogue technology and how it manages to think like the brain while operating at a level that consumes little power and significantly reduces latency. The white paper also looks at use cases including predictive maintenance and the identification of human activity.
POLYN Technology is a cutting-edge manufacturer of distinctive Tiny AI chips and the IP that goes with them.
It also offers ultra-low-power-performance NASP technology. According to POLYN Technology’s CEO and Founder, By separating the solution into fixed analogue neuromorphic and flexible digital components, NASP technology offers the best solution to the problems of power consumption and computation latency.
