There has been a resurgence of interest in optical computing since the early 2010s, both in academia and in industry, with much of the excitement centred around special-purpose optical computers for neural-network processing. Optical computing has been a
continued progress is hampered by the rapid growth in energy costs of ever-larger deep neural networks. Optical neural networks provide a potential means to solve the energy-cost problem faced by deep learning. Here, we experimentally demonstrate an optical neural network based on optical dot produ...
Keywords: optical encoder; metasurface; optical neural network 1 Introduction Over the last decade, the fields of artificial intelligence (AI) and deep learning have experienced accelerated progress, revealing the potential and capabilities of artificial neural networks (ANN) for a variety of applications...
Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light Optical neural networks have been successfully realized on-chip level, yet to operate it requires coherent light sources. Here, the authors proposed integrated computing based on natural light by combinin...
metasurface filterneural networkvisible bandIn order to obtain a metasurface structure capable of filtering light of a specific wavelength range in the visible band, the traditional methods usually traverse the space consisting of possible designs, searching for a potentially satisfactory structure by ...
Computing metasurfaces are two-dimensional artificial nanostructures capable of performing mathematical operations on the input electromagnetic field, including its amplitude, phase, polarization, and frequency distributions. Rapid progress in the develo
Wu et al. [98] presented an MNN based on a metasurface through simulation. Metasurfaces can be used to perform optical functions such as focusing and beam steering via the resonant scattering of arrays of nanoscale scatterers fabricated on a flat surface [99], such as that exhibited in Fig....
Adaptive neural network in a hybrid optical/electronic architecture using lateral inhibition We report the optical implementation of a neural network based on a nearest matched filter algorithm and extensive lateral inhibition. Extremely rapid lear... PJD Groot,RJ Noll - 《Applied Optics》 被引量: ...
metasurfaces, as well as programmable devices like LCOS-Spatial light modulators (for phase and amplitude) and Digital micromirror devices (for amplitude). The primary purpose of the electronic relay layer is to introduce non-linearity. Among existing optoelectronic neural networks9,18,27, the ...
Wu, C. et al. Programmable phase-change metasurfaces on waveguides for multimode photonic convolutional neural network.Nat. Commun.12, 96 (2021). ArticleADSCASPubMedPubMed CentralGoogle Scholar Mahmoodi, M. R. & Strukov, D. inProceedings of the 55th Annual Design Automation Conference. 1–6...