Synapse-Neuron-Aware Training Scheme of Defect-Tolerant Neural Networks with Defective Memristor Crossbars

To overcome the limitations of CMOS digital systems, emerging computing circuits such as memristor crossbars have been investigated as potential candidates for significantly increasing the speed and energy efficiency of next-generation computing systems, which are required for implementing future AI...

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Detalles Bibliográficos
Autores principales: An, Jiyong, Oh, Seokjin, Nguyen, Tien Van, Min, Kyeong-Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878212/
https://www.ncbi.nlm.nih.gov/pubmed/35208396
http://dx.doi.org/10.3390/mi13020273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878212/
https://www.ncbi.nlm.nih.gov/pubmed/35208396
http://dx.doi.org/10.3390/mi13020273

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