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Sandia National Laboratories Annual ML/DL Workshop

Sept 9th – Sept 12th (Virtual, Open to the public)


SCHEDULE

We are pleased to announce that the 2024 workshop will be hosted out of Albuquerque, New Mexico!

September 9-12th

  • July 15-18 Hackathon (In Person, Sandians Only)
  • September 4-5 Tutorials Session (Virtual, SNL Staff Only)

All prior presentations have been archived!

MIXERS

  • September 9th
    • Nuclear Museum Mixer (In Person, New Mexico, Open to public)
    • California Mixer TBD (In Person, California, Open to the public)
  • September 10th Virtual Mixer (Virtual, Open to public)
  • …More Coming!

PRESENTERS

Scheduled presenters will submit talks OR upload a public link via our submission form.

PURPOSE

The Sandia Machine Learning and Deep Learning (MLDL) Workshop is an opportunity for researchers and practitioners in these areas to

  • Present work across various national laboratories and collaborators in machine learning (ML) and deep learning (DL).

  • Network with staff and management at Sandia focused on work in these areas and discuss ideas for potential new work and collaboration,

  • Teach and test MLDL methods via tutorials for those interested in getting some hands-on experience with machine learning and deep learning.


ATTENDANCE

The ML/DL Workshop is virtual for all approved for public release (UUR) sessions. The final versions of accepted talks will be pre-recorded videos delivered virtually by a live session organizer, and speakers will participate in live, virtual Q&A sessions following their talks.


PRESENTATIONS NEEDED

We are looking for presenters interested in sharing their work. We are particularly interested in submissions with regard to

  • Describing the development of ML and DL methods and software

  • Application of ML and DL methods to problems of interest to the national laboratories

  • Existing problems at the laboratories for which ML and/or DL could be applied

  • Demonstrations of existing ML and DL software packages and hardware developed at the laboratories

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Virtual pre-recorded presentation slots are limited to 15-, 20-, or 30-minute time slots with an opportunity for questions afterwards.

Important Dates:

Submission Deadline June 21st, 2024

Final Notifications by July 11th, 2024

For questions and/or comments, please contact us.