Turning glass into a ‘transparent' light-energy harvester

EPFL physicists propose a novel way to create photoconductive circuits, where the circuit is directly patterned onto a glass surface with femtosecond laser light. The new technology may one day be useful for harvesting energy, while remaining transparent to light and using a single material.

A machine learning framework that encodes images like a retina

EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.

Nanopores and deep learning change disease diagnostics

EPFL scientists unveil a groundbreaking method using biological nanopores and deep learning to detect protein modifications, offering new avenues in disease diagnostics

A machine learning system to make data centers more efficient

The CloudProphet system under development in the Embedded Systems Lab aims to reduce the carbon footprint of data centers by using computing resources more efficiently.

Bridging light and electrons

Researchers at EPFL and Max Planck have merged nonlinear optics with electron microscopy, unlocking new capabilities in material studies and the control of electron beams.

A source of mutual inspiration for artists and scientists

EPFL is currently host to three artists for the 2023/24 edition of the College of Humanities Artist-in-Residence program “Enter the Hyper-Scientific”. Each spent three months visiting labs and working with scientists to create works that answer both artistic and scientific questions.