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Mathematics - 14.06.2021
Modeling the friction between pages in a book
Modeling the friction between pages in a book
Engineers at EPFL and École Polytechnique in France analyzed the friction between pages in a book and the mechanical force needed to bend them. Drawing on their experiments, they developed a new theoretical model for predicting the elasto-frictional behavior of stacked layers. It all started with a shaky washing machine.

Computer Science - Mathematics - 03.05.2021
USI develops innovative system for better credit card fraud detection
USI develops innovative system for better credit card fraud detection
The use of credit cards and other cashless or digital payment methods has become the norm for consumers all over the globe, and the strong surge of online buying during the pandemic has further boosted this decade-long trend. However, behind the convenience of 'click and pay' there are also risks, such as fraud and related losses, which are mostly borne by the card companies.

Mathematics - 26.04.2021
Theory and experiments to understand a contact between two filaments
Theory and experiments to understand a contact between two filaments
Mechanical engineers and mathematicians at EPFL have joined forces to gain a better understanding of the geometry and mechanics of two filaments in contact - as in the cases of knots and woven fabrics. Pedro Reis, head of EPFL's Flexible Structures Laboratory, and John Maddocks, head of EPFL's Laboratory for Computation and Visualization in Mathematics and Mechanics, have something in common: a fascination with ropes and knots.

Health - Mathematics - 29.01.2021
On the trail of Sars-CoV-2 in cable cars
On the trail of Sars-CoV-2 in cable cars
Where do the greatest risks of infection lurk? How can you protect yourself and others even better? Scientists all over the world are working to expand knowledge about Covid-19 - including at Empa. Researchers are now using measurements and simulations to take a close look at cable cars and cabins in ski resorts.

Life Sciences - Mathematics - 27.01.2021
A NEAT reduction of complex neuronal models accelerates brain research
A NEAT reduction of complex neuronal models accelerates brain research
Unlike their simple counterparts in artificial intelligence (AI) applications, neurons in the brain use dendrites - their intricate tree-like branches - to find relevant chunks of information. Now, neuroscientists from the University of Bern have discovered a new computational method to make complex dendrite models much simpler.

Computer Science - Mathematics - 04.01.2021
Researchers compute turbulence with artificial intelligence
Researchers compute turbulence with artificial intelligence
For the first time, researchers at ETH Zurich have successfully automated the modelling of turbulence. Their project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint". The modelling and simulation of turbulent flows is crucial for designing cars and heart valves, predicting the weather, and even retracing the birth of a galaxy.