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.

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.

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

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.

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.

EPFL researchers have developed new software – now spun-off into a start-up – that eliminates the need for data to be sent to third-party cloud services when AI is used to complete a task. This could challenge the business model of Big Tech.