Contributed talks on software and tools for astronomy, including machine learning and AI applications to scientific discovery.

Contributed talks (abstracts):

1. Neven Caplar - From DP2 and PPDB with HATS/LSDB towards Multimodal ecosystem
2. Emilio Donoso (V) - Weighted Masks with Skykatana: Recovering Thousands of Square Degrees for LSS Studies via Statistical Mitigation
3. Connor Stone (V) - AstroPhot: Fitting every transient everywhere all at once
4. Aritra Ghosh - Unsupervised Discovery at Survey Speed: Revealing Hidden Systems in Rubin DP1 and Beyond
5. Siddharth Chaini - Fast, Probabilistic Modelling for the LSST Alert Stream - Interpolating Sparse Multiband Light Curves with Neural Processes
6. Oleksandra Razim (V) - Early classification of Tidal Disruption Events with Machine Learning
7. Tjitske Starkenburg - Recovering Galaxy Distortions with Uncertainty
8. Ryan Franklin - Intrinsic Alignment Modeling with Symbolic Regression