Scientific Machine Learning using Functional Mock-Up Units
Tobias Thummerer, Lars Mikelsons
If there is something YOU know about a physical system, AI shouldn’t need to learn it. How to integrate your system knowledge into an ML development process is the core topic of this hands-on workshop. The entire workshop evolves around a challenging use case from robotics: Modeling a robot that is able to write arbitrary messages with a pen. After introducing the topic and the considered use case, participants can experiment with their very own robot model.
SciML
TU-Eindhoven -1.354
