Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

VIEW FROM... ECOC 2017

Machine learning under the spotlight

The field of machine learning potentially brings a new set of powerful tools to optical communications and photonics. However, to separate hype from reality it is vital that such tools are evaluated properly and used judiciously.

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Darko Zibar, Henk Wymeersch or Ilya Lyubomirsky.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zibar, D., Wymeersch, H. & Lyubomirsky, I. Machine learning under the spotlight. Nature Photon 11, 749–751 (2017). https://doi.org/10.1038/s41566-017-0058-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41566-017-0058-3

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing