Home

Image of MLDL 11c_Final opt1

Sandia National Laboratories Annual ML/DL Workshop

(Virtual, Open to the public)

The 9th Annual Sandia Machine Learning/Deep Learning (MLDL) Workshop, hosted from Albuquerque, New Mexico was a success! Thank you to all presenters and participants! Check back for more information for the upcoming 2026 workshop!

SCHEDULE

The workshop aims to provide a platform for members of the MLDL research community to network, learn, and share their work allowing participants to gain in-depth exposure to the field of MLDL. There is no cost to attend the workshop.

MIXERS

Each year, the workshop features mixers that are open to the public. Stay tuned for upcoming details regarding the dates and times for the 2026 workshop mixers.

PRESENTERS

Scheduled presenters will submit talks using the submission form on OpenReview when it is available for 2026.

OpenReview

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
Image of Artificial Intelligence concept brain with CPU

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

For questions and/or comments, please contact us.