Date:
Time: 2:00pm ET (12:00pm MT)
NRAO zoom room 02
Attendees
| Attendees | Regrets | Notified |
|---|---|---|
Mark Lacy |
Agenda
Discussion of some ways AI/ML can help us
- artifact recognition for QA (supervised/unsupervised learning etc - Sergio Garza has already made some progress in this area for VLASS)
- RFI detection and excision
- machine learning approaches to the VLASS imaging problem (and to interferometric imaging in general)
- Using AI bots (e.g. ChatGPT) to help with scripting/coding, data cleaning etc.
- AI help with pipelines (Brian Kirk/Urvashi working on this)
- Using language models to obtain user science goals from proposal abstracts+titles to inform SRDP pipeline choices (e.g. spectral line/continuum/detection expt/imaging exit) (Adele working on related project for ALMA).
Available software resources to try out (scikit-learn, tensor flow, PyTorch etc)