Apertus becomes the foundation model of Current AI’s new chatbot
Current AI, a global partnership building a public option for AI, has launched Alpha Chat, an experimental open-source chatbot powered by Apertus, Switzerland’s sovereign large language model. The prototype demonstrates how Apertus can be integrated into applications developed by external organizations.
How attackers persuade AI agents to break the rules
As AI assistants evolve into AI agents, a new EPFL study has found that the biggest safety risks in their use may not come from single malicious prompts, but from carefully orchestrated conversations.
“Consciousness is the solution to a problem we don’t yet know”
EPFL professor Michael Herzog, head of the Psychophysics Laboratory, discusses why consciousness remains such an elusive subject and what its study means for neuroscience, medicine and artificial intelligence.
“AI tools are cultural artifacts, not neutral software”
How to keep information trustworthy when content is increasingly machine-made? EPFL professor Andrea Cavallaro shares his view.
Nine ERC Advanced Grants awarded to EPFL researchers
The European Research Council (ERC) awarded nine “ERC Advanced Grants” to EPFL researchers. This prestigious funding scheme gives senior researchers the opportunity to pursue ambitious, curiosity-driven projects that could lead to major scientific breakthroughs.
AI generates first complete models of proteins in motion
EPFL researchers have used a neural network to create all-atom models of proteins, as well as the dynamic movements that govern their function. Their comprehensive yet simplified approach resolves a major bottleneck in biology.
How to teach the same skill to different robots
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.
The myth of neutrality in Generative AI
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.”
EPFL joins $25 million research on cancer avoidance
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.
Open-Source LLM Builders Summit: What It Will Take to Enable Global Collaboration
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 […]