| Issue |
Photoniques
Number 104, Septembre-Octobre 2020
|
|
|---|---|---|
| Page(s) | 49 - 52 | |
| Section | Back to basics | |
| DOI | https://doi.org/10.1051/photon/202010449 | |
| Published online | 09 November 2020 | |
Artificial intelligence: From electronics to optics
1
Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, Paris, France
2
Laboratoire de Physique de l’École Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, Paris, France
3
LightOn, 2 rue de la Bourse, Paris, France
* e-mail : sylvain.gigan@lkb.ens.fr
Machine Learning and big data are currently revolutionizing our way of life, in particular with the recent emergence of deep learning. Powered by CPU and GPU, they are currently hardware limited and extremely energy intensive. Photonics, either integrated or in free space, offers a very promising alternative for realizing optically machine learning tasks at high speed and low consumption. We here review the history and current state of the art of optical computing and optical machine learning.
© 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.
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