Computer Science
Sewing nicer clothes with algorithms
Research
ETH Zurich
Clothes often have patterns that don’t transition nicely at the seams. Katja Wolff, a PhD student at the Interactive Geometry Lab of ETH Zurich, has developed an algorithm that automatically aligns textile prints along seams.
A new app can help detect the coronavirus
Research
EPFL
EPFL researchers have developed an artificial intelligence-based system that can listen to your cough and indicate whether you have COVID-19.
EPFL lends computing power to fight against the coronavirus
Research
EPFL
EPFL is contributing significant computing resources to the open science project Folding@Home, which uses protein dynamics simulations to explore potential coronavirus drug targets.
Hackathon aims to develop responses to the coronavirus
Research
EPFL
On 4–6 April , the EPFL student association LauzHack will hold a fully online hackathon to help tackle the coronavirus. The event – put together in just a few days – is open to EPFL students as well as the general public.
On the trail of the virus
Research
ETH Zurich
Participate in containing coronavirus: medical informatics specialists at ETH Zurich have developed a monitoring system to complement corona tests and track how the virus is spreading in Switzerland. All residents of Switzerland can take part in the online survey.
Modelling and simulation pay off
Research
PSI
Researchers in PSI's Laboratory for Scientific Computing and Modelling solve the most complex problems through a combination of theory, modelling, and high-performance computing. With powerful computers, they simulate the smallest molecules or large-scale research facilities.
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