Computerworld | AI predicts avalanche danger [In German]

Hydropower accounts for almost 60% of Swiss energy production, which is likely to increase with a shift to renewable energy...

Insights from the “ENRICH/SDSC Data Workshop: Interoperability of Environmental Data and AI” that took place on May 6, 2025 at Eawag.

The next edition of the SDSC’s National Calls for Collaborative Projects will open in September 2025.

The WSL and the SDSC are actively working towards the development and the study of the benefits of machine learning approaches for facilitating biodiversity assessments.

Not all datasets are images and we need architectures that adapt to other types of data, encoding both domain specific knowledge and data specific characteristics. For instance, at the SDSC, we deal with spherical data, i.e. curved images on a sphere, but without clear borders and arbitrary orientation.