Logic-in-Memory Based on an Atomically Thin Semiconductor

The growing importance of applications based on machine learning is driving the need to develop dedicated, energy-efficient electronic hardware. Compared with von-Neumann architectures, brain-inspired in-memory computing uses the same basic device structure for logic operations and data storage(1–3)...

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Detalles Bibliográficos
Autores principales: Marega, Guilherme Migliato, Zhao, Yanfei, Avsar, Ahmet, Wang, Zhenyu, Tripathi, Mukesh, Radenovic, Aleksandra, Kis, Andras
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116757/
https://www.ncbi.nlm.nih.gov/pubmed/33149289
http://dx.doi.org/10.1038/s41586-020-2861-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116757/
https://www.ncbi.nlm.nih.gov/pubmed/33149289
http://dx.doi.org/10.1038/s41586-020-2861-0

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