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Health - Computer Science / Telecom - 02.04.2020
EPFL software to enable secure data-sharing for hospitals
EPFL software to enable secure data-sharing for hospitals
The MedCo system aims to facilitate medical research on pathologies - such as cancer and infectious diseases - by enabling secure computations on decentralized data. The unique software has recently been deployed at three Swiss hospitals. MedCo was first released in 2019 as the first operational system to protect sensitive patient data so that it can be used collectively for medical research.

Microtechnics - Computer Science / Telecom - 19.03.2020
This Drone Can Play Dodgeball - And Win
This Drone Can Play Dodgeball - And Win
Using a novel type of cameras, researchers from the University of Zurich have demonstrated a flying robot that can detect and avoid fast-moving objects. A step towards drones that can fly faster in harsh environments, accomplishing more in less time. Drones can do many things, but avoiding obstacles is not their strongest suit yet - especially when they move quickly.

Computer Science / Telecom - Microtechnics - 16.03.2020
Allowing robots to feel
Allowing robots to feel
With the help of machine learning, ETH researchers have developed a novel yet low-cost tactile sensor. The sensor measures force distribution at high resolution and with great accuracy, enabling robot arms to grasp sensitive or fragile objects. We humans have no problem picking up fragile or slippery objects with our hands.

Computer Science / Telecom - Physics - 10.03.2020
Introducing the light-operated hard drives of tomorrow
Introducing the light-operated hard drives of tomorrow
What do you get when you place a thin film of perovkite material used in solar cells on top of a magnetic substrate? More efficient hard drive technology. EPFL physicist László Forró and his team pave the way for the future of data storage. "The key was to get the technology to work at room temperature," explains László Forró, EPFL physicist.

Computer Science / Telecom - Physics - 03.03.2020
Solving problems of analytic continuation through machine learning
Solving problems of analytic continuation through machine learning
An EPFL student has shown how deep learning can be used to analytically connect digital simulations and experimental results more quickly and reliably than conventional methods. This work, which the student carried out for his semester project, was recently published in Physical Review Letters. It's not unusual for scientists to compare experimental results with the predictions made by theoretical models.

Life Sciences - Computer Science / Telecom - 19.02.2020
Using performance modelling for brain tissue simulations
Using performance modelling for brain tissue simulations
Scientists from EPFL (Switzerland) have extended performance modelling techniques to the field of computational brain science. In a paper published in Neuroinformatics, they provide a quantitative appraisal of the performance landscape of brain tissue simulations, and analyze in detail the relationship between an in silico experiment, the underlying neuron and connectivity model, the simulation algorithm and the hardware platform being used.