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Reconfigurable Stochastic neurons based on tin oxide/MoS(2) hetero-memristors for simulated annealing and the Boltzmann machine

Neuromorphic hardware implementation of Boltzmann Machine using a network of stochastic neurons can allow non-deterministic polynomial-time (NP) hard combinatorial optimization problems to be efficiently solved. Efficient implementation of such Boltzmann Machine with simulated annealing desires the...

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Detalles Bibliográficos
Autores principales:	Yan, Xiaodong, Ma, Jiahui, Wu, Tong, Zhang, Aoyang, Wu, Jiangbin, Chin, Matthew, Zhang, Zhihan, Dubey, Madan, Wu, Wei, Chen, Mike Shuo-Wei, Guo, Jing, Wang, Han
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/PMC8481256/ https://www.ncbi.nlm.nih.gov/pubmed/34588444 http://dx.doi.org/10.1038/s41467-021-26012-5

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