A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics – using with Newton’s third law.
(more…)A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics – using with Newton’s third law.
(more…)School of Engineering Emeritus Professor Giovanni De Micheli has been named an international member of the US NAE Class of 2026.
(more…)EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
(more…)AI is making its way into every aspect of our lives, but how ready are we to adopt it, and under what conditions? A report published in French by the EPFL AI Center, in collaboration with the University of Geneva, presents both the perceptions of a sample of French-speaking population of Switzerland and the recommendations of a citizen’s assembly.
(more…)Researchers at EPFL’s Laboratory of Computational Science and Modeling (COSMO) have reached a significant milestone in material science, reaching the top position on Matbench Discovery, the leading benchmarking platform for machine-learning interatomic potentials.
(more…)A team of EPFL researchers has taken a major step towards resolving the problem of drift in generative video, which is what causes sequences to become incoherent after a handful of seconds. Their breakthrough paves the way to AI videos with no time constraints.
(more…)A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears in the wild, despite the substantial changes that occur in their appearance over the summer season. This breakthrough holds significant promise for research, management, and conservation efforts.
(more…)EPFL professor Robert West and invited professor Ágnes Horvát discuss how the rise of AI is transforming the dissemination and production of scientific knowledge.
(more…)The agreement lays the foundation for long-term collaboration in AI research and education, with a focus on open, large-scale foundation models and their societal impact. It will enable joint research projects, researcher exchanges, and new approaches to human–AI collaboration across disciplines.
(more…)Maksym Andriushchenko, who received his PhD from the Theory of Machine Learning (TML) laboratory in 2024, received the ELLIS PhD Award, and Francesco D’Angelo, a current TML doctoral student was awarded a prestigious Google PhD Fellowship.
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