News

Driven by AI, the advent of autonomous mobility has accelerated in recent years. It has advantages that go beyond the asphalt. 

As part of the Week of Action Against Racism, EPFL is exploring the issue of algorithmic discrimination. Ahead of a public conference on campus dedicated to the topic, we’ve taken a closer look at the “black box.”

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.

EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.

AI is making its way into every aspect of our lives, but how ready are we to adopt it, and under what conditions? A report published in French by the EPFL AI Center, in collaboration with the University of Geneva, presents both the perceptions of a sample of French-speaking population of Switzerland and the recommendations of a citizen’s assembly.