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New research sheds light on how diffusion models—used in artificial intelligence (AI) image generation—operate across hierarchical data structures, revealing unexpected transitions between high-level and low-level features during the generative process.

Developed from EPFL research, in collaboration with MIT and Yale, the combination of secure computation and distributed algorithms opens a new era for data collaborations in medical research.

A bioinspired robot developed at EPFL can change shape to alter its own physical properties in response to its environment, resulting in a robust and efficient autonomous vehicle as well as a fresh approach to robotic locomotion.

Quantum computing could be one of the big technological revolutions of the coming decades. At EPFL, scientists are at the forefront of harnessing quantum technologies to address real-world issues, aligning their efforts with the UN Sustainable Development Goals.

EPFL scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and conditions.

“Designing Life with AI” is a cross-disciplinary MAKE project in which EPFL students get a chance to explore the research process by designing proteins. A total of eight research labs are involved.