POLYN Technology White Paper Explains Value of Neuromorphic Analog in Tiny AI Applications
June 1, 2022, Caesarea, Israel – POLYN Technology has published an in-depth white paper that explores how a Neuromorphic Analog Signal Processing (NASP) approach can mimic the human brain in IoT sensory systems and advance the sensor node paradigm.
The white paper, titled Neuromorphic Analog Implementation for Tiny AI Applications, is available on the POLYN Technology website, at https://bit.ly/3a9RImO.
It explains the principles behind neuromorphic analog technology and how it achieves its capacity to “think” like the brain, while at the same time performing at a level that uses minimal power and vastly reduces latency. The white paper also examines use cases such as human activity recognition (for applications such as wearables for human health) and predictive maintenance (for areas such as Industry 4.0 and transportation).
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. As Alexander Timofeev, CEO and founder of POLYN Technology, explained it, “This paper shows how NASP technology provides the optimal answer to power consumption and computing latency challenges by dividing the solution into fixed analog neuromorphic and flexible digital parts.”
About POLYN
POLYN Technology is a fabless semiconductor company supplying ultra-low-power, high-performance Neuromorphic Analog Signal Processing (NASP) technology, IP and Tiny AI chips based on NASP. POLYN’s Neural-Net-To-Chip automation tools support the fast and cost-effective development of tailored Tiny AI solutions, which perform AI computations on-device. The technology and products enable a wide range of edge AI applications with power consumption, accuracy, size, and cloud connectivity constraints, like wearables, Industry 4.0, Connected Health 4.0, Smart Home and more. POLYN Technology was founded in 2019. The company is registered in London and headquartered in Israel.