An energy-efficient in-memory computing architecture for survival data analysis based on resistive switching memories

One of the objectives fostered in medical science is the so-called precision medicine, which requires the analysis of a large amount of survival data from patients to deeply understand treatment options. Tools like machine learning (ML) and deep neural networks are becoming a de-facto standard. Nowa...

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Detalles Bibliográficos
Autores principales: Baroni, Andrea, Glukhov, Artem, Pérez, Eduardo, Wenger, Christian, Calore, Enrico, Schifano, Sebastiano Fabio, Olivo, Piero, Ielmini, Daniele, Zambelli, Cristian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395721/
https://www.ncbi.nlm.nih.gov/pubmed/36017177
http://dx.doi.org/10.3389/fnins.2022.932270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395721/
https://www.ncbi.nlm.nih.gov/pubmed/36017177
http://dx.doi.org/10.3389/fnins.2022.932270

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