Neuromorphic computation with a single magnetic domain wall

Machine learning techniques are commonly used to model complex relationships but implementations on digital hardware are relatively inefficient due to poor matching between conventional computer architectures and the structures of the algorithms they are required to simulate. Neuromorphic devices, a...

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Detalles Bibliográficos
Autores principales: Ababei, Razvan V., Ellis, Matthew O. A., Vidamour, Ian T., Devadasan, Dhilan S., Allwood, Dan A., Vasilaki, Eleni, Hayward, Thomas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329183/
https://www.ncbi.nlm.nih.gov/pubmed/34341380
http://dx.doi.org/10.1038/s41598-021-94975-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329183/
https://www.ncbi.nlm.nih.gov/pubmed/34341380
http://dx.doi.org/10.1038/s41598-021-94975-y

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