ETH Zurich | Empowering data-driven science

Introducing AIXD (AI-eXtended Design), a toolbox for forward and inverse modeling for exhaustive design exploration.

As of January 1st, 2025, the Swiss Data Science Center embraces its new role as a National Research Infrastructure.

Dear SDSC Community, we are excited to introduce SDSC News, a platform to keep you informed about the latest developments, projects,...

LeafSim is an example-based explainable AI (XAI) technique for decision tree-based ensemble methods, explaining model predictions by identifying training data points that most influence a given prediction.

The goal of CarboSense4D is to produce an accurate map of the evolution of carbon dioxide over Switzerland by applying machine learning methods from a network of low-cost sensors.

Dr. Castello, Principal Data Scientist at the Swiss Data Science Center, shares insights on accelerating energy transition with AI.