Aktivität: Vortrag ohne Tagungsband / Vorlesung › Präsentation auf einer wissenschaftlichen Konferenz / Workshop
Modern deep learning methods require a lot of computational resources for training. The topic of energy efficiency will therefore be of crucial importance for the development of new algorithms in the future. One way to develop more energy-efficient methods is to intrinsically consider physical laws and constraints and thus, for example, significantly limit the data space for training. In my talk, I will give an overview of Physics-informed Machine Learning and show possible application areas within our current projects in the environmental domain.