Binarized Neural Network with Stochastic Memristors

Olga Krestinskaya, Otaniyoz Otaniyozov, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


This paper proposes the analog hardware implementation of Binarized Neural Network (BNN). Most of the existing hardware implementations of neural networks do not consider the memristor variability issue and its effect on the overall system performance. In this work, we investigate the variability in memristive devices in crossbar dot product computation and leakage currents in the proposed BNN, and show how it effects the overall system performance.
Original languageEnglish (US)
Title of host publicationProceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Print)9781538678848
StatePublished - Mar 1 2019
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-23


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