![Methods and Algorithms](/fileadmin/_processed_/4/a/csm_algorithms_small_508524c6ce.jpg)
Methods and Algorithms
To solve complex real-world tasks we develop machine learning solutions using state-of-the-art supervised Deep Learning methods as well as self-supervised approaches and evaluate their quality along different quality dimensions.
![AI in Medicine and the Sciences](/fileadmin/_processed_/e/5/csm_medicine_small_3e91f9dea2.jpg)
AI in Medicine and the Sciences
Central application areas of our research lie in medicine and the Sciences, where we develop solutions for real-world problems involving different data modalities. Together with practitioners and other users we always strive for developing the best solutions.
![Machine Learning for Climate Change](/fileadmin/_processed_/5/e/csm_climate_small_56dc08941a.jpg)
Machine Learning for Environmental research, Extreme Events and beyond
Climate change research is a vast and significantly important research topic. Together with partners from our research network we strive for developing machine learning-based methods that can be helpful to push further research developments in this field.