Inverse design of an integrated-nanophotonics optical neural network

Volume: 65, Issue: 14, Pages: 1177 - 1183
Published: Jul 1, 2020
Abstract
Artificial neural networks have dramatically improved the performance of many machine-learning applications such as image recognition and natural language processing. However, the electronic hardware implementations of the above-mentioned tasks are facing performance ceiling because Moore's Law is slowing down. In this article, we propose an optical neural network architecture based on optical scattering units to implement deep learning tasks...
Paper Details
Title
Inverse design of an integrated-nanophotonics optical neural network
Published Date
Jul 1, 2020
Volume
65
Issue
14
Pages
1177 - 1183
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.