Computer Science
New Imaging Center Pools the Know-How of Five EPFL Schools
Research
EPFL
EPFL has just opened a new imaging center to serve as a hub for state-of-the-art technology in imaging systems. The only one of its kind in Switzerland, the center pools the imaging expertise that is currently housed at nearly a hundred laboratories in five EPFL schools. The goal is to facilitate cross-disciplinary research and anchor EPFL’s position at the cutting edge of imaging technology for research applications.
How ETH students established the first all-female Olympiad in Informatics
Teaching
ETH Zurich
Next week, the first European Girls’ Olympiad in Informatics will take place in Zurich. The competition, which will have around 160 participants from 43 countries, is being organised by ETH students, who also came up with the original idea and are the driving force behind the event.
“Mars Mission” attracts more than 700 students from around the world
Teaching
EPFL
The R2T2 Mars Mission is an educational project developed at EPFL for grade-school and high-school classes that use the Thymio robot. A total of 180 teams have signed on to the project, which is teaching the students a variety of new skills.
Mastermind of active machine learning
Research
ETH Zurich
How do you teach machines to learn for themselves and support people? Andreas Krause is one of Europe’s leading machine learning researchers. His approaches combine mathematical elegance with a sense of social responsibility. He has now been awarded the Rössler Prize, ETH Zurich’s most generous research award.
Using light to monitor cancer
Research
EPFL
Researchers at EPFL have developed a technology based on nanophotonics and data science to detect and monitor cancer biomarkers at an early stage. Their research is published in Nature Communications.
Early endeavours on the path to reliable quantum machine learning
Research
ETH Zurich
The future quantum computers should be capable of super-fast and reliable computation. Today, this is still a major challenge. Now, computer scientists led by ETH Zurich conduct an early exploration for reliable quantum machine learning.
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