%0 Journal Article
%A Ziegler, Tobias
%A Waser, Rainer
%A Wouters, Dirk J.
%A Menzel, Stephan
%T In‐Memory Binary Vector–Matrix Multiplication Based on Complementary Resistive Switches
%J Advanced intelligent systems
%V 2
%N 10
%@ 2640-4567
%C Weinheim
%I Wiley-VCH Verlag GmbH & Co. KGaA
%M FZJ-2021-00229
%P 2070100 -
%D 2020
%Z Cover Picture
%X In article number 2000134, Stephan Menzel and co‐workers explore a computation in‐memory concept for binary vector‐matrix multiplications based on complementary resistive switches. Experimental results on a small‐scale demonstrator are shown and the influence of device variability is investigated. The simulated inference of a 1‐layer fully connected binary neural network trained on the MNIST data set resulted in an accuracy of nearly 86%.
%F PUB:(DE-HGF)16
%9 Journal Article
%R 10.1002/aisy.202070100
%U https://juser.fz-juelich.de/record/889338