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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5974078/
https://www.ncbi.nlm.nih.gov/pubmed/29844343
http://dx.doi.org/10.1038/s41467-018-04578-x

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