ICT Journal | Bühler relies on machine learning to separate the wheat grain from the chaff [In French]

Press Release: The Swiss Data Science Center Establishes a Permanent Presence at Biopôle with Support from the Canton of Vaud.

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.

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 lack of transparency of black-box models is a fundamental problem in modern Artificial Intelligence and Machine Learning. This work focuses on how to unbox deep learning models for image classification problems.

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.