Computer Science
At CSCS, energy efficiency is a key priority, even at high performance
Research
ETH Zurich
The term "high-performance computer" already implies a high energy demand. Energy efficiency is therefore a central consideration in the procurement and use of supercomputers at the Swiss National Supercomputing Centre (CSCS) — just as it was during the planning of the new building in Lugano more than a decade ago.
Breathing life into video pixels
Research
ETH Zurich
Autonomous virtual humans that move and behave naturally are Siyu Tang’s vision. One area from which the computer scientist draws inspiration are our behavioural patterns. Collaboration with architects and surgeons provides further input – and it also reveals the enormous potential of virtual people.
Network assembly through cell division
Research
ETH Zurich
ETH Zurich researchers have developed a model that explains how nerve cells in the brain connect during development. Their model reveals that the crucial factor is progressive cell division. This process leads naturally to the formation of molecular addresses that lets neurons navigate.
Empowering young people on International Youth Day
Teaching
EPFL
Held every year on August 12, International Youth Day provides a platform for young people to focus on how they will develop innovative and entrepreneurial solutions for the future. Two EPFL summer programs are helping to do this in the field of computer and communication science.
A textbook comes to life: Augmented reality for dental specialists
TechTransfer
ETH Zurich
Game developers from the ETH Game Technology Center have created an app that explains bone remodelling in a playful way. If students point the camera of their mobile device at the textbook, they find themselves transported to the bone’s surface, where they help cells break down bone tissue.
Monitoring SARS-CoV-2 mutations thanks to wastewater sampling and bioinformatics
Research
Eawag
A study published today in Nature Microbiology highlights the great advantage of wastewater monitoring as being rapid, unbiased and cost-effective: the detection of genomic variants of SARS-CoV-2 in wastewater offers an early alert and can be based on fewer samples as compared to clinical samples. The bioinformatics tool developed by the groups of Niko Beerenwinkel and Tanja Stadler (ETH, Department of Biosystems Science and Engineering) in collaboration with Eawag and EPFL identifies variants of concern even at low abundance.
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