Traffic jams are a problem in large urban areas. How can they be solved without expanding the road network? This is a challenge that researchers are attempting to address.
(more…)Traffic jams are a problem in large urban areas. How can they be solved without expanding the road network? This is a challenge that researchers are attempting to address.
(more…)For the first time researchers have used an advanced AI model that understands both images and language allowing them to model dyslexia, paving the way for potential new treatments.
(more…)With AI, the voice has acquired a new significance. Behind the words lies data that can be used both to diagnose a health problem and to steal someone’s identity.
(more…)A new framework developed by EPFL researchers makes it possible to teach a skill to robots with different mechanical designs, allowing them to carry out the same task safely without rewriting code for each.
(more…)Driven by AI, the advent of autonomous mobility has accelerated in recent years. It has advantages that go beyond the asphalt.
(more…)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.”
(more…)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.
(more…)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.
(more…)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.
(more…)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.