All-optical ultrafast ReLU function for energy-efficient nanophotonic deep learning

In recent years, the computational demands of deep learning applications have necessitated the introduction of energy-efficient hardware accelerators. Optical neural networks are a promising option; however, thus far they have been largely limited by the lack of energy-efficient nonlinear optical fu...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Li Gordon H.Y., Sekine Ryoto, Nehra Rajveer, Gray Robert M., Ledezma Luis, Guo Qiushi, Marandi Alireza
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2022-05-01
Edice:	Nanophotonics
Témata:	deep learning optical computing optical neural networks thin-film lithium niobate
On-line přístup:	https://doi.org/10.1515/nanoph-2022-0137
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!