Focuses on the physical model of the Elbow of the Rhône in Martigny, covering river eco-morphology, construction aspects, safety measures, and modeling techniques.
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Features a Q&A session on hydrological modeling, virtual tours, and practical exercises, emphasizing the importance of understanding model behavior and performance indicators.
Explores atomic descriptors, emphasizing symmetry, locality, and the challenges of incorporating electrostatics in machine learning models for chemistry.
