Suggested Searches

 

AI/ML STIG Lecture Series

Artificial Intelligence and Machine Learning Science and Technology Interest Group (AI/ML STIG)

Module 4: Physics-Inspired Networks

AI/ML STIG about AI/ML STIG Lecture Series

Location

Virtual

Dates

9 March 2026
4:00pm ET

Community

AI/ML STIG

Type

Seminar

Equivariant Neural Networks (Application)

Speaker

Anna Scaife, U. of Manchester

Hands-on applications of equivariant neural networks to astronomical problems, building on the theoretical foundations from the previous lecture to implement symmetry-aware models in PyTorch.

Topics Covered

  • Implementing equivariant architectures in PyTorch
  • Applying symmetry constraints to astronomical datasets
  • Performance gains from built-in equivariance
  • Case studies in astronomy and astrophysics
  • Best practices and practical considerations
Session Recording

Seminar Connection

Join the Seminar

News Straight to Your Inbox

Subscribe to your community email news list

We will never share your email address.

Privacy Policy

Sign Up
Angled from the upper left corner to the lower right corner is a cone-shaped orange-red cloud known as Herbig-Haro 49/50. This feature takes up about three-fourths of the length of this angle. The upper left end of this feature has a translucent, rounded end. The conical feature widens slightly from the rounded end at the upper right down to the lower right. Along the cone there are additional rounded edges, like edges of a wave, and intricate foamy-like details, as well as a clearer view of the black background of space. In the upper left, overlapping with the rounded end of Herbig-Haro 49/50, is a background spiral galaxy with a concentrated blue center that fades outward to blend with red spiral arms. The background of space is speckled with some white stars and smaller, more numerous, fainter white galaxies throughout.