News EPFL

A clever way to recover weather balloon radiosondes

Published:24.07.18 — Summer series. Students' project (3/9) – The meteorological sensors carried into the upper atmosphere by weather balloons are often lost as they return to earth. As part of their Bachelor’s project, five EPFL students worked on a system to recover this equipment.

EPFLoop takes third place

Published:23.07.18 — EPFL’s entry in yesterday’s Hyperloop Pod Competition in California raced to a third-place finish. This was an extraordinary result for EPFLoop, which squared off against 18 teams from around the world in its first-ever Hyperloop competition.

A new initiative to foster innovation in the media sector

Published:19.07.18 — Academic, public and private partners are teaming up to to support and develop media innovation. The first projects will be launched this year.

The EPFLoop team is ready to race

Published:18.07.18 — The EPFLoop team is in the United States where, on Sunday, it will take part in the Hyperloop Pod Competition being organized by the founder of SpaceX. The team hopes its pod will be the fastest to race down a 1.5-kilometer track at speeds expected to reach several hundred kilometers per hour.

Forget joysticks, use your torso to pilot drones

Published:16.07.18 — Your torso is more intuitive – and more precise – than joysticks for piloting drones, both simulated and real, according to a recent study by EPFL scientists. Work is already underway to implement this new body-machine-interface technology for search and rescue with drones.

Showerloop lets you take a full shower with just 10 liters of water

Published:16.07.18 — Summer series. Students' project (2/9) - Thanks to funding from EPFL Cooperation & Development Center, EPFL students will test three prototypes of their new eco-friendly shower at a university campus in Colombia this fall. Once back in Switzerland, they plan to install their device right here at EPFL.

Artificial intelligence helps design an ultra-aerodynamic bike

Published:12.07.18 — Thanks to software developed by Neural Concept, an EPFL spin-off, bicycle engineers can quickly calculate the most aerodynamic shape for a bike. The software – which is being presented in Stockholm today at the International Conference on Machine Learning – applies artificial intelligence to a set of user-defined specifications. Engineers have already used the program to design a bike that they hope will break the world speed record this fall in Nevada.