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.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
