Cargando…
Magnetic Elements for Neuromorphic Computing
Neuromorphic computing is assumed to be significantly more energy efficient than, and at the same time expected to outperform, conventional computers in several applications, such as data classification, since it overcomes the so-called von Neumann bottleneck. Artificial synapses and neurons can be...
Autores principales: | Blachowicz, Tomasz, Ehrmann, Andrea |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7321415/ https://www.ncbi.nlm.nih.gov/pubmed/32486173 http://dx.doi.org/10.3390/molecules25112550 |
Ejemplares similares
-
Magnetic 3D-Printed Composites—Production and Applications
por: Ehrmann, Guido, et al.
Publicado: (2022) -
Textile-Based Sensors for Biosignal Detection and Monitoring
por: Blachowicz, Tomasz, et al.
Publicado: (2021) -
Conductive Electrospun Nanofiber Mats
por: Blachowicz, Tomasz, et al.
Publicado: (2019) -
Optical Properties of Electrospun Nanofiber Mats
por: Blachowicz, Tomasz, et al.
Publicado: (2023) -
Exchange Bias in Nanostructures: An Update
por: Blachowicz, Tomasz, et al.
Publicado: (2023)