| Issue |
Photoniques
Number 104, Septembre-Octobre 2020
|
|
|---|---|---|
| Page(s) | 34 - 38 | |
| Section | Focus: Photonics and Artificial intelligence | |
| DOI | https://doi.org/10.1051/photon/202010434 | |
| Published online | 09 November 2020 | |
Optical neural networks: The 3D connection
1
Optics Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
2
FEMTO-ST/Optics Department, UMR CNRS 6174, Université Bourgogne Franche-Comté, 25030 Besançon Cedex, France
* e-mail : daniel.brunner@femto-st.fr
We motivate a canonical strategy for integrating photonic neural networks (NN) by leveraging 3D printing. Our belief is that a NN’s parallel and dense connectivity is not scalable without 3D integration. 3D additive fabrication complemented with photonic signal transduction can dramatically augment the current capabilities of 2D CMOS and integrated photonics. Here we review some of our recent advances made towards such an architecture.
© The authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.