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EPFL researchers have discovered that symmetry in the vertebrate body is influenced by surface tension, the same mechanical phenomenon that allows lightweight insects to walk on water. A paper discussing this surprising finding, which is akin to a form of natural self-correction, has been published

Two EPFL computer scientists have taken home a major prize in Singapore’s Trusted Media Challenge, a five-month long competition aimed at cracking the code of deepfakes.

Scientists led by EPFL have developed a new method to measure chemical kinetics by imaging progress of a reaction at a liquid-liquid interface embedded in a laminar-flow liquid microjet. This method is ideal for studies of dynamics on the sub-millisecond timescale, which is very difficult to do with

Imagine designing a robotic glider able to accelerate to 800km per hour using only the wind at its back. Combining passion with work, EPFL Professor Pascal Fua is leading research to develop the required capabilities, with important implications for sustainability.

The Artist-in-Residence program of EPFL’s College of Humanities announces Alan Bogana (Switzerland), Dorota Gawęda (Poland) & Eglė Kulbokaitė (Lithuania), Joel Kuennen (USA), and Riccardo Giacconi (Italy) as the artists selected for its first international call: Enter the Hyper-Scientific.

Deep learning models are becoming increasingly common in bioimage analysis. Yet a lack of standardization and the use of these algorithms by non-experts are potential sources of bias. Scientists from EPFL and the European Bioinformatics Institute (EMBL-EBI) offer practical tips and guidance in a pap