Multiple languages, sensitive documents, and strict privacy rules: for employees of the Canton of Ticino, automated translation is not trivial. The administration is now in the process of introducing an in-house translation system based on Switzerland’s Apertus—keeping both sensitive data and the underlying technology under its own control.

Under the EPFL-led ADOPT project, researchers are combining AI satellite-image recognition with drift prediction models to improve the collection of plastic debris in the ocean. The technology has passed the proof-of-concept stage and is ready for field testing. 

Jacques Fellay’s lab at EPFL will lead data integration and analysis within the Cancer Grand Challenges ATLAS team, selected to investigate why some high-risk individuals never develop cancer.

The second Open-Source LLM Builders Summit concluded in Lausanne with a final plenary discussion led by the Scientific Committee (Antoine Bosselut, EPFL; Joost VandeVondele, CSCS; Imanol Schlag, ETHZ; Valentina Pyatkin, Ai2) synthesizing insights from the afternoon’s breakout sessions. The goal of the workshop was to explore how meaningful global collaboration on open large language models (LLMs) could move from aspiration to implementation.

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics – using with Newton’s third law.

School of Engineering Emeritus Professor Giovanni De Micheli has been named an international member of the US NAE Class of 2026.