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001     889338
005     20210127115326.0
024 7 _ |a 10.1002/aisy.202070100
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100 1 _ |a Ziegler, Tobias
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245 _ _ |a In‐Memory Binary Vector–Matrix Multiplication Based on Complementary Resistive Switches
260 _ _ |a Weinheim
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520 _ _ |a 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%.
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700 1 _ |a Waser, Rainer
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700 1 _ |a Wouters, Dirk J.
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700 1 _ |a Menzel, Stephan
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773 _ _ |a 10.1002/aisy.202070100
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