Nonlinear optical components for all-optical probabilistic graphical model

The probabilistic graphical models (PGMs) are tools that are used to compute probability distributions over large and complex interacting variables. They have applications in social networks, speech recognition, artificial intelligence, machine learning, and many more areas. Here, we present an all-...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Babaeian, Masoud, Blanche, Pierre-A., Norwood, Robert A., Kaplas, Tommi, Keiffer, Patrick, Svirko, Yuri, Allen, Taylor G., Chen, Vincent W., Chi, San-Hui, Perry, Joseph W., Marder, Seth R., Neifeld, Mark A., Peyghambarian, N.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5974078/
https://ncbi.nlm.nih.gov/pubmed/29844343
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-018-04578-x
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