Photonic Stochastic Emergent Storage for deep classification by scattering-intrinsic patterns.

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作者： Marco,Leonetti ^[1] ; Giorgio,Gosti ^[2] ; Giancarlo,Ruocco ^[3]

作者单位： Soft and Living Matter Laboratory, Institute of Nanotechnology, 00185, Rome, Italy. marco.leonetti@cnr.it. ^[1] Center for Life Nano- & Neuro-Science, Italian Institute of Technology, Rome, Italy. marco.leonetti@cnr.it. ^[2] Rebel Dynamics-IIT CLN2S Jointlab, 00161, Roma, Italy. marco.leonetti@cnr.it. ^[3] Soft and Living Matter Laboratory, Institute of Nanotechnology, 00185, Rome, Italy. ^[4] Center for Life Nano- & Neuro-Science, Italian Institute of Technology, Rome, Italy. ^[5] Istituto di Scienze del Patrimonio Culturale, Sede di Roma, Consiglio Nazionale delle Ricerche, 00010, Montelibretti (RM), Italy. ^[6] Department of Physics, University Sapienza, I-00185, Roma, Italy. ^[7]

DOI 10.1038/s41467-023-44498-z

PMID 38218858

发布时间 2024-01-16

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Nature communications

2024年15卷1期

505页

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Photonic Stochastic Emergent Storage for deep classification by scattering-intrinsic patterns.

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Photonic Stochastic Emergent Storage for deep classification by scattering-intrinsic patterns.

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