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Adiabatic superconducting cells for ultra-low-power artificial neural networks

We propose the concept of using superconducting quantum interferometers for the implementation of neural network algorithms with extremely low power dissipation. These adiabatic elements are Josephson cells with sigmoid- and Gaussian-like activation functions. We optimize their parameters for applic...

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Dettagli Bibliografici
Pubblicato in:Beilstein J Nanotechnol
Autori principali: Schegolev, Andrey E, Klenov, Nikolay V, Soloviev, Igor I, Tereshonok, Maxim V
Natura: Artigo
Lingua:Inglês
Pubblicazione: Beilstein-Institut 2016
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5082478/
https://ncbi.nlm.nih.gov/pubmed/27826513
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3762/bjnano.7.130
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