RTS | When the police predicts crime [In French]

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.

Deep learning – the area of machine learning generating its models from deep neural networks – has revolutionized the way we think of machine learning problems.While its disruptive force initially hit the field of computer vision with the massive adoption.

The Datalakes project creates a user-friendly online platform that allows spatial and temporal analysis of lakes through hydrological and ecological data.

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.