Séminaires > Artificial Intelligence and Inverse Problems in Mechanical Engineering
Date : Jeudi 20 février à 14h
Lieu : Salle séminaire Barthelemy, Bâtiment Curie
Résumé :
Artificial Intelligence (AI) has emerged as a transformative force, reshaping countless industries—from healthcare to finance—by automating complex tasks, extracting insights from massive datasets, and making predictions with remarkable accuracy. Particularly in Machine Learning (ML) information is extracted from data in order to yield models capable of generalizing the underlying physics. Similar methodology takes place in Inverse Problem where the general models are typically replaced by first principles-based ones, so that one seeks to reconstruct information regarding input parameters, such as boundary and initial conditions, physical properties and so forth. This seminar presents a showcase of applications of such methods in Mechanical Engineering, including heat flux measurements in hazardous scenarios, thermal management of electronics, characterization of novel materials and even some biomedical applications in oncology and epidemiology.