-
Opening day
-
Submission deadlineNo deadline
Contributions are welcome across all core INFN application domains.
Relevant topics include High Energy Physics, Gravitational Waves, Medical Physics, and other INFN activities in related physics areas and interdisciplinary research.
We are particularly interested in presentations that explore emerging methodologies such as foundation models, techniques for uncertainty quantification, data management strategies, including open dataset release and quality control, MLOps best practices for deployment and reproducibility in scientific computing, and Quantum Computing.
We also welcome proposals on emerging topics and novel application that may not fit traditional categories but demonstrate significant potential for the INFN research community.
At the time of submission, you are kindly invited to outline the physics domain, the potential benefits of adopting machine learning, and the pedagogical value of the proposed contribution.