Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Explores the Venice Time Machine project, aiming to digitize Venice's history and present state, creating a digital twin and utilizing advanced technologies for comprehensive monitoring and historical connection.
Showcases a unique project where a traveling bus brings interactive science workshops to young students, aiming to spark interest in scientific professions and dispel stereotypes.
