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Behavioral analysis can provide a lot of information about the health status or motivations of a living being. A new technology developed at EPFL makes it possible for a single deep learning model to detect animal motion across many species and environments. This “foundational model”, called SuperAn

Combining advanced molecular mapping technologies and AI, researchers have published an open-source ‘atlas’ in Nature, providing a comprehensive understanding of spinal cord injury biology in mice and paving the way for new therapies.

EPFL scientists, through the VELOCE project, have clocked the speed of Cepheid stars – “standard candles” that help us measure the size of the universe – with unprecedented precision, offering exciting new insights about them.

A group of EPFL and ETH Zurich scientists have mapped the biodiversity in forests worldwide. Their data, when combined with climate projections, reveal trends that could support ecosystem conservation and restoration efforts.

EPFL scientists, in collaboration with researchers at EMBL Heidelberg, have discovered that a group of marine protists (eukaryotic organisms) closely related to animals use open or closed mitosis based on their life cycle stages, suggesting that the way animal cells perform cell division evolved lon

EPFL engineers have developed new software called Pyxu that makes it easier and faster to reconstruct images taken at any scale. Their system employs reusable, and universally applicable, bricks of algorithms.