Mar 2, 2023 · In this paper, we propose and demonstrate high-throughput optical neural networks based on temporal computing.
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The optical neural network (ONN) has been considered as a promising candidate for next-generation neurocomputing due to its high parallelism, low latency, ...
An emerging generative artificial intelligence (AI) based on neural networks starts to grow in popularity with a revolutionizing capability of creating new ...
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Nov 6, 2023 · A scalable optical convolutional neural network (SOCNN) based on free-space optics and Koehler illumination was proposed to address the limitations of the ...
Jun 8, 2021 · Here, we propose and demonstrate a sequential optical deep learning concept that is specifically designed to directly process high-speed serial data.
Nov 4, 2023 · Optoelectronic neural networks (ONN) are a promising avenue in AI computing due to their potential for parallelization, power efficiency, ...
May 17, 2021 · Due to the light wave nature, all-optical deep neural net- works (AODNNs) hold great promise in high-speed par- allel computation with low ...
Missing: temporal | Show results with:temporal
... computing power.9 In order to perform well on these tasks networks have had to grow in size, learning more complicated statistical features. The training ...
Missing: temporal | Show results with:temporal
An efficient, scalable, in-situ method to train, configure and tune complex photonic circuits for artificial intelligence and machine learning.
Missing: temporal | Show results with:temporal