In close collaboration with the Rwanda Space Agency, we develop machine learning tools to understand and monitor extreme weather events. We …
This project is based on the insight that in order to significantly reduce the CO2 footprint of ML applications power-aware applications must be as …
In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI …