Background
Following on from Tony's scistaff meeting about Astronomy AI institutes in August 2023, we decided it would be good to set up a regular (~monthly) series of meetings on using AI/ML focused especially on VLASS, which, as it produces a large, uniform set of images and other products makes it a good candidate for this sort of work, but also covering other areas e.g. science ready data products, pipeline QA etc.
Aim
To draft a white paper/VLASS memo on these topics (on a timescale ~ 1 year) and, if we find some particularly compelling use cases, to include an implementation plan and an estimate of the resources needed to carry it out.
Resources
There exists a rich literature of astronomical uses of AI/ML, here are some interesting papers that staff have noticed recently:
Image/artifact classification
Felix's ADASS talk "You might also like these images"
Interferometric imaging with machine learning
https://arxiv.org/abs/2311.06349 - Interferometric Image Reconstruction using Closure Invariants and Machine Learning