By leveraging the concept of chirality, or the difference of a shape from its mirror image, EPFL scientists have engineered ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like telling a leaf apart from a rock. But they have struggled to build ...

In hyperspectral images (HSIs), different land cover (LC) classes have distinct reflective characteristics at various wavelengths. Therefore, relying on only a few bands to distinguish all LC classes ...

Where today’s AI models grind through trillions of parameters using electrons, QuantLase proposes a different route: using photons. The result is a computing model that operates passively, elegantly, ...

A growing body of research attempts to put a number on energy use and AI—even as the companies behind the most popular models keep their carbon emissions a secret.

Fluid motion estimation from time-sequenced images is a significant image analysis task. Its application is widespread in experimental fluidics research and many related areas like biomedical ...