Computerworld | AI predicts avalanche danger [In German]

Discover the highlights from the ORD for the Sciences Hackathon that took place Oct. 24-25, 2025 at EPFL.

The Federal Office of Meteorology and Climatology (MeteoSwiss) and the Swiss Data Science Center have signed a framework agreement.

RAvaFcast is a data-driven model pipeline developed for automated regional avalanche danger forecasting in Switzerland.

The creation of avalanche bulletins is still a largely expert-driven and manual task. DEAPSnow aims to explore the feasibility of using data-driven models to support the process of avalanche danger forecast.

As we endeavor to reduce global CO2 emissions to avoid the worst impacts of climate change, Bühler Group is laying the technical foundations to make real impacts on the industry’s emissions through an innovative approach to optimizing manufacturing operations.