ETH Zurich | ETH Zurich promotes data science research

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.

Data-driven medicine has a major downside: by transforming Medicine’s trust model, in place since Hippocrates, it creates unprecedented privacy risks that need to be urgently addressed.

As the world’s cities continue to grow, land is becoming increasingly scarce. However, open space is vital in urban areas. Semiramis is a new approach to AI-augmented architectural design, allowing designers a quick and easy selection of feasible performance values and a qualitative evaluation of the generated geometries.

Innovation in pharmaceutical manufacturing raises key questions: How will AI change our operations? What does this mean for the skills of our workforce? How will it reshape our collaborative efforts? And crucially, how can we fully leverage these changes?