Becker S, Storp J, Stiller B (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023
Event location: Munich, DEU
ISBN: 9798350345995
DOI: 10.1109/CLEO/EUROPE-EQEC57999.2023.10232324
Artificial neural networks (ANNs) have emerged as powerful tools, which for example accelerate research on COVID-19. They solve challenging tasks by taking advantage of their self-learning abilities and nonlinearity [1, 2]. However, the freedom gained through the complexity of ANNs leads to computational intense model training, eventually consuming a lot of energy [3]. One possible solution to overcome the current issues could be by transferring ANNs into the optical domain. For instance, Shen et al. have demonstrated the rich capabilities of optical neural networks (ONNs) [4]. A key element of an ANN and ONN is its nonlinear activation function, however, only a few all-optical approaches are published. In addition, those published are frequency insensitive, limiting the maximum data bandwidth throughput.
APA:
Becker, S., Storp, J., & Stiller, B. (2023). Implementation of an optoacoustic activation function based on stimulated Brillouin scattering. In 2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023. Munich, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Becker, Steven, Jakob Storp, and Birgit Stiller. "Implementation of an optoacoustic activation function based on stimulated Brillouin scattering." Proceedings of the 2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023, Munich, DEU Institute of Electrical and Electronics Engineers Inc., 2023.
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