Exploring AI to advance
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Citizen's Assembly
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AMLD Intelligence Summit
2026

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Apertus: a fully open, transparent,
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Transforming cancer care
with Artificial Intelligence

New AI algorithm is designed to obey the laws of physics

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.

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“AI, good servant, bad master”

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.

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A New Reference Model for Machine-Learning–Driven Materials Discovery

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.

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New AI system pushes the time limits of generative video

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.

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AI enables a Who’s Who of brown bears in Alaska

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.

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Within five years we may have AI that does science

EPFL professor Robert West and invited professor Ágnes Horvát discuss how the rise of AI is transforming the dissemination and production of scientific knowledge.

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ETH Zurich, EPFL, and Stanford HAI forge a strategic collaboration on human-centered AI

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.

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