Description
- What are foundation models? Challenges and opportunities.
- Strategies for training foundation models : self-supervision and pre-training.
- How to reach adaptability and fine tuning.
- Some examples
Bio
Ilaria Luise is a Senior Research Fellow at CERN, the European Center for Nuclear Research in Geneva. She works as a physicist within the Innovation Division at the CERN IT-Department. Her background is in experimental physics and big data management. She is Co-PI of the AtmoRep project, which is part of the CERN Innovation Programme on Environmental Applications (CIPEA). The project aims at building a foundation model for atmospheric dynamics in collaboration with ECMWF and the Jülich Supercomputing Center.
Sofia is a CERN physicist with extensive experience in software development in the high-energy physics domain, particularly in deep learning and quantum computing applications within CERN openlab. She has a PhD in physics obtained at the University of Geneva. Prior to joining CERN openlab, Sofia was responsible for the development of deep-learning-based technologies for the simulation of particle transport through detectors at CERN. She also worked to optimise the GeantV detector simulation prototype on modern hardware architectures.
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