Physics-informed machine learning integrates seamlessly data and mathematical physics models, even in partially understood, uncertain and high-dimensional contexts. Kernel-based or neural network-based regression methods offer effective, simple and meshless implementations.
What? Don't worry, Andrea Panizza (Senior AI Specialist at Baker Hughes) will explain in detail what Physics-Informed Machine Learning (PIML) is about.
Prerequisites to understand the seminar:
GDSC Lead
Core Team Member
University of Bologna
Core Team Member
University of Bologna
Core Team Member
University of Bologna
Cyber security expert/Core Team Member
Core Team Member
