Cargando…
Optical coherent dot-product chip for sophisticated deep learning regression
Optical implementations of neural networks (ONNs) herald the next-generation high-speed and energy-efficient deep learning computing by harnessing the technical advantages of large bandwidth and high parallelism of optics. However, due to the problems of the incomplete numerical domain, limited hard...
Autores principales: | Xu, Shaofu, Wang, Jing, Shu, Haowen, Zhang, Zhike, Yi, Sicheng, Bai, Bowen, Wang, Xingjun, Liu, Jianguo, Zou, Weiwen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560900/ https://www.ncbi.nlm.nih.gov/pubmed/34725322 http://dx.doi.org/10.1038/s41377-021-00666-8 |
Ejemplares similares
-
The dots and boxes game: sophisticated child's play
por: Berlekamp, Elwyn R
Publicado: (2000) -
High-order tensor flow processing using integrated photonic circuits
por: Xu, Shaofu, et al.
Publicado: (2022) -
Deep-learning-powered photonic analog-to-digital conversion
por: Xu, Shaofu, et al.
Publicado: (2019) -
Microcomb-based integrated photonic processing unit
por: Bai, Bowen, et al.
Publicado: (2023) -
Theaetetus, Sophist
por: Platón
Publicado: (1921)