Adaptive Photochemical Nonlinearities for Optical Neural ...
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Oct 19, 2023 · The work combines recent advances with photoswitchable chemical compounds and optical neural networks to enable control over the design of nonlinear activation ...
Adaptive Photochemical Nonlinearities for Optical Neural ...
onlinelibrary.wiley.com › aisy.202300229
Oct 19, 2023 · The work combines recent advances with photoswitchable chemical compounds and optical neural networks to enable control over the design of nonlinear activation ...
The work combines recent advances with photoswitchable chemical compounds and optical neural networks to enable control over the design of nonlinear activation ...
Oct 20, 2023 · When embedded in a waveguide framework, optically coupled PCMs offer a compact way of integrating nonlinearities and memory into the photonic ...
Missing: Photochemical | Show results with:Photochemical
We propose and realize experimentally an optical system where highly efficient backpropagation training can be applied through an array of highly nonlinear, ...
An adaptive multilayer dual-wavelength optical neural network design with all-optical forward propagation, based on a large number of modifiable optical ...
Jul 3, 2024 · In this paper we propose an all-photonic computational accelerator wherein information is encoded in the amplitudes of frequency modes stored in a single ring ...
Jul 8, 2024 · Photonic neural networks can be made smarter by using a disordered material made of lots of tiny crystals that can double the frequency of incoming light in a ...
Oct 23, 2023 · A team of researchers has now developed a so-called event-based architecture, using photonic processors with which data are transported and ...
Missing: Photochemical Nonlinearities
Oct 20, 2023 � We present an adaptive optical neural network based on a large-scale event-driven architecture. In addition to changing the synaptic weights�...