The EPFL AI Center has appointed Amina Chebira as its new Executive Director, effective 1st October. She brings extensive experience in strategy, operations and technology-driven programs spanning academia, industry and applied innovation.
(more…)The EPFL AI Center has appointed Amina Chebira as its new Executive Director, effective 1st October. She brings extensive experience in strategy, operations and technology-driven programs spanning academia, industry and applied innovation.
(more…)Fifteen women from across EPFL are being featured in the 2026 Top 100+ Women in AI, Data & Robotics report, celebrating their engagement and contribution to Switzerland’s rapidly evolving AI ecosystem.
(more…)Artificial intelligence is forcing universities to reinvent how they teach and assess students’ knowledge. According to Dan Schwartz, an expert in learning science at Stanford, the challenge goes well beyond deciding whether to let AI into the classroom – teachers need to think long and hard about what students should really learn.
(more…)The Apertus team, a group of researchers at EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS), partners with Swiss technology company Proton to make Apertus 1.5 available in Lumo, Proton’s AI assistant. This enables researchers to gain direct feedback from real-world use for the first time.
(more…)A team at EPFL have developed a framework that trains Large Language Models to create AI systems that can find the best possible setup or “recipe” for a scientific experiment.
(more…)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.
(more…)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.
(more…)EPFL researchers have developed an AI model that analyzes tumor tissues across many cancer types. In the long term, it aims at helping identify and better predict treatment response and patient outcomes.
(more…)The Swiss AI Initiative allocated 8.5 million GPU hours in the 3rd Call for Large Projects to support the research and development of open-science artifacts in core areas of foundation model development, as well as target application areas of critical societal importance. The 4th Call for Large Projects is now open.
(more…)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.
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