During this workshop, it will be showcased projects and teams that have successfully used open datasets from Photon and Neutron facilities to train their specific machine learning (ML) application (data consumers), as well as domain scientists (data producers) who have published curated data specifically for ML applications.

Further details here: https://indico.synchrotron-soleil.fr/event/67/

The call for abstracts for this workshop is now open in both, online and in-person, modalities. Please submit your abstract before the 8th September 2023.

They are looking for users and methods developers from all disciplines, using data from a photon or neutron source, whose contributions can address the following points:

  • Have you used open data for machine learning? What has been your experience?
  • Do you feel your research could benefit from more and better curated open data? Tell us why and how.
  • Have you already made open datasets available to your community for machine learning training purposes? What has been your experience?
  • Have you managed to enrich the metadata of open datasets for better training? Share with us how you accomplished it.