Zobrazeno 1 - 3
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pro vyhledávání: '"Kevin Montano"'
Publikováno v:
Journal of Physics D: Applied Physics. 56:084005
Physical reservoir computing (RC) represents a computational framework that exploits information-processing capabilities of programmable matter, allowing the realization of energy-efficient neuromorphic hardware with fast learning and low training co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2bac3e9c8d976d8e907da75bb6d8152
https://doi.org/10.1088/1361-6463/acb7ff
https://doi.org/10.1088/1361-6463/acb7ff
Self-assembled memristive nanonetworks composed of many interacting nano objects have been recently exploited for neuromorphic-type data processing and for the implementation of unconventional computing paradigms, such as reservoir computing. In thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f2a91df2df1faabcee9e82bb5d30d02
http://hdl.handle.net/11583/2959144
http://hdl.handle.net/11583/2959144
Autor:
Giacomo Pedretti, Shahin Hashemkhani, Luca Boarino, Carlo Ricciardi, Daniele Ielmini, Kevin Montano, Gianluca Milano, Saverio Ricci
Publikováno v:
Nature materials. 21(2)
Neuromorphic computing aims at the realization of intelligent systems able to process information similarly to our brain. Brain-inspired computing paradigms have been implemented in crossbar arrays of memristive devices; however, this approach does n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a69bfed722cf982014caaabdc2f59986
https://pubmed.ncbi.nlm.nih.gov/34608282
https://pubmed.ncbi.nlm.nih.gov/34608282