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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |