We are a passionate team of researchers and engineers working to increase the impact of machine learning (ML) on the sciences and the humanities. Our main activities are
- to help domain scientists by providing advice, engaging into cooperations and training, and
- to work with ML researchers to develop, adapt and disseminate state-of-the-art ML methods for science, emphasizing interpretability and uncertainty evaluation.
We are a special unit of the Machine Learning Cluster of Excellence at the University of Tübingen.
For more details, check out our mission.
Environment
The ML ⇌ Science Colaboratory is
The ml ⇌ science colab is a core facility of the Cluster of Excellence Machine Learning: new Perspectives for Science. We are affiIiated with the CS Wilhelm-Schickard-Institute for Computer Science at the University of Tübingen
With our activities ranging from applied ML research to training through hands-on collaborations with scientists, we strive to support the goals of the cluster:
To enable machine learning to take a central role in all aspects of scientific discovery and to understand how such a transformation will impact the scientific approach as a whole.
The ml ⇌ science colab is part of the thriving AI research and application ecosystem in Tübingen, which includes the University and the Max Planck for Intelligent Systems.
We work with ML researchers all across Tübingen to help domain specialists across the natural sciences, the social sciences, and the humanities in the University of Tübingen.
ml ⇌ science colab
Department of Computer Science University of Tübingen AI Research Building Maria-von-Linden-Str. 6, Tübingen
