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Challenges hindering memristive neuromorphic hardware from going mainstream

Memristive devices have elicited intense research in the past decade thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability. Nonetheless, several outstanding performance and manufacturability challenges have prevented the widespread industry adoption o...

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Detalles Bibliográficos
Autores principales: Adam, Gina C., Khiat, Ali, Prodromakis, Themis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288140/
https://www.ncbi.nlm.nih.gov/pubmed/30531798
http://dx.doi.org/10.1038/s41467-018-07565-4
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author Adam, Gina C.
Khiat, Ali
Prodromakis, Themis
author_facet Adam, Gina C.
Khiat, Ali
Prodromakis, Themis
author_sort Adam, Gina C.
collection PubMed
description Memristive devices have elicited intense research in the past decade thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability. Nonetheless, several outstanding performance and manufacturability challenges have prevented the widespread industry adoption of redox-based memristive matrices. Here, we discuss these challenges in terms of key metrics and propose a roadmap towards realizing competitive memristive-based neuromorphic processing systems.
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spelling pubmed-62881402018-12-12 Challenges hindering memristive neuromorphic hardware from going mainstream Adam, Gina C. Khiat, Ali Prodromakis, Themis Nat Commun Comment Memristive devices have elicited intense research in the past decade thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability. Nonetheless, several outstanding performance and manufacturability challenges have prevented the widespread industry adoption of redox-based memristive matrices. Here, we discuss these challenges in terms of key metrics and propose a roadmap towards realizing competitive memristive-based neuromorphic processing systems. Nature Publishing Group UK 2018-12-10 /pmc/articles/PMC6288140/ /pubmed/30531798 http://dx.doi.org/10.1038/s41467-018-07565-4 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Comment
Adam, Gina C.
Khiat, Ali
Prodromakis, Themis
Challenges hindering memristive neuromorphic hardware from going mainstream
title Challenges hindering memristive neuromorphic hardware from going mainstream
title_full Challenges hindering memristive neuromorphic hardware from going mainstream
title_fullStr Challenges hindering memristive neuromorphic hardware from going mainstream
title_full_unstemmed Challenges hindering memristive neuromorphic hardware from going mainstream
title_short Challenges hindering memristive neuromorphic hardware from going mainstream
title_sort challenges hindering memristive neuromorphic hardware from going mainstream
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288140/
https://www.ncbi.nlm.nih.gov/pubmed/30531798
http://dx.doi.org/10.1038/s41467-018-07565-4
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