ETH Zurich | Empowering data-driven science

The SDSC and Idiap have partnered to develop Renku, a cutting-edge collaborative data science platform.

50 proposals were selected through the review processes of the SDSC's first National Calls.

Press Release: The SDSC has announced its support for 50 proposals, carefully selected through its 1st National Calls.

Have you ever considered the complexity of generating large-scale, intricate graphs akin to those that represent the vast relational structures of our world? Our research introduces a pioneering approach to graph generation that tackles the scalability and complexity of creating such expansive, real-world graphs.

The AI project "DEAPSnow" takes avalanche forecasting to a whole new level.

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.