Physics-Informed Machine Learning – Lecture 1 | Why Physics + AI?

Why combine physics with machine learning? In this first lecture of our 5-day PhD course, we introduce the motivation behind Physics-Informed Machine Learning, present real-world applications in robotics and autonomous systems, outline the course structure, and explore the first examples of physics-guided learning methods. Topics Motivation for Physics-Informed Machine Learning Real-world applications Course overview Introduction to physics-guided machine learning Lecturers Dr. Mattia Piccinini (Technical University of Munich): https://mattiapiccinini95.github.io/ Prof. Gastone Pietro Rosati Papini (University of Trento): https://tonegas.it/