Three-Dimensional Neuromorphic Computing System With Two-Layer and Low-Variation Memristive Synapses
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3061481
Abstract: Three-dimensional integrated circuits (3D-ICs) is a cutting-edge design methodology of placing the circuitry vertically aiming for a high-speed and energy-efficient system with the smallest design area. In this article, a novel 3-D neuromorphic system is… read more here.
Keywords: tex math; system; two layer; inline formula ... See more keywords
A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2019.2942267
Abstract: The continued success in the development of neuromorphic computing has immensely pushed today’s artificial intelligence forward. Deep neural networks (DNNs), a brainlike machine learning architecture, rely on the intensive vector–matrix computation with extraordinary performance in… read more here.
Keywords: neural network; hybrid structured; deep neural; hybrid dnn ... See more keywords