How has COVID19 Impacted Self-learning Neuromorphic Chip Market? August 20, 2021
Self-learning Neuromorphic Chip Market: Introduction
•
Neuromorphic chips come with artificial neurons and artificial synapses that mimic the activity spike that occurs in the human brain. The chip has the ability to learn continuously due to its synaptic plasticity. This results in smarter, far more energy efficient computing systems.
•
Self-learning neuromorphic chips perform on chip processing asynchronously. It uses event driven processing models to address complex computing problems. Further, by combining improved on board learning, reduced latency, and improved energy efficiency, the self-learning neuromorphic chip can push the image recognition and speech processing to new levels of speed and accuracy.
•
The field of self-learning neuromorphic chips is advancing rapidly and it is expected that the chip will have a positive impact on edge devices and IoT systems. Research and developments are being done by companies, for instance, Intel Labs has developed Loihi which is a research test chip. The chip uses spiking neural network architecture.
Get PDF brochure for Industrial Insights and business Intelligence @ https://www.transparencymarketresearch.com/sample/sample.php? flag=S&rep_id=71493
Growing adoption of self-learning neuromorphic chips in automotive industry
•
The automotive industry is among the fastest growing industries in the world. It is showing rapid adoption of neuromorphic chips in automated cars. Premium car manufacturers are investing in automotive technology to achieve level five automation. This in turn is generating huge demand for self-learning neuromorphic chips.
•
In addition, neuromorphic chip developers are focusing on advanced driver assisted system (ADAS) and autonomous vehicle (AV) applications to increase