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How to keep information trustworthy when content is increasingly machine-made? EPFL professor Andrea Cavallaro shares his view.

A study led by EPFL shows that when objects are difficult to see, mice don’t simply look harder. They move to find better viewpoints, adjusting their behavior according to how much visual information is available.

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.

An EPFL team has created a new Large Language Model that is structured similarly to a human brain, allowing users more control and moving away from “black box” AI.

EPFL startup WasteFlow has developed an AI-powered copilot that identifies and measures waste streams, helping sorting facilities work more efficiently. Support from several EPFL entrepreneurship programs helped the company accelerate the development of its technology.

MeditronFO is the first fully open framework for building medical large language models, to make AI in healthcare more transparent and accountable.

EPFL and CHUV researchers have developed the first AI-assisted, real-time deep-brain stimulation therapy for walking impairments in Parkinson’s disease.

Two years ago, researchers at MIT proposed a provocative idea: as AI models become more powerful, they begin to see the world in the same way. But not everyone was convinced and now EPFL scientists have shown that the picture is more nuanced.

EPFL researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.

EPFL researchers have developed Saturn and TANGO, two complementary AI frameworks that make generative molecular design faster, more efficient, and closer to real laboratory chemistry.