Delving into self-consciousness at EPFL

Published:21.02.20 — What if the key to conveying complex scientific concepts like self-consciousness was to bring art and science together? From 25 February to 1 March, EPFL ArtLab will play host to the Immersive Lab, which offers visitors an interactive, multisensory experience.

Scientists finally confirm a 50-year-old theory in mechanics

Published:21.02.20 — An experiment by EPFL researchers has confirmed a theory that has been used in mechanics for over half a century – despite never having been fully validated. The team could now use the theory in bolder and more innovative ways in their quest to develop ever better energy systems.

New insights into the processes that cause Parkinson's disease

Published:20.02.20 — In a breakthrough for Parkinson’s disease, scientists at EPFL have reconstructed the process by which Lewy bodies form in the brain of patients. The study offers new insights into how Parkinson’s disease begins and evolves, and opens up a set of potential new treatment targets.

Three EPFL spin-offs among Europe's top 50 “super scale-ups”

Published:19.02.20 — Four Swiss companies, including three EPFL spin-offs – Flyability, Kandou and Nexthink – will be featured among Europe’s top 50 high-tech scale-ups at this year’s Tech Tour Growth Summit. The Summit is an annual event where a panel of international investors selects the most promising young European businesses with the potential to become tomorrow’s unicorns.

Using performance modelling for brain tissue simulations

Published:19.02.20 — Scientists at the EPFL Blue Brain Project 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. Thereby deriving the first analytical performance models of detailed brain tissue simulations, which is a concrete step to enable the next generation of brain tissue simulations.