Pattern Recognition Using Carbon Nanotube Synaptic Transistors with an Adjustable Weight Update Protocol.
Sign Up to like & getrecommendations! Published in 2017 at "ACS nano"
DOI: 10.1021/acsnano.6b07894
Abstract: Recent electronic applications require an efficient computing system that can perform data processing with limited energy consumption. Inspired by the massive parallelism of the human brain, a neuromorphic system (hardware neural network) may provide an… read more here.
Keywords: pattern recognition; system; weight update; update protocol ... See more keywords
Parallel weight update protocol for a carbon nanotube synaptic transistor array for accelerating neuromorphic computing.
Sign Up to like & getrecommendations! Published in 2020 at "Nanoscale"
DOI: 10.1039/c9nr08979a
Abstract: Brain-inspired neuromorphic computing has the potential to overcome the inherent inefficiency of the conventional von Neumann architecture by using the massively parallel processing power of artificial neural networks. Neuromorphic parallel processing can be implemented naturally… read more here.
Keywords: array; parallel weight; weight update; weight ... See more keywords