EPFL
Artificial intelligence to explore the biomolecular world
Research
EPFL
EPFL scientists have developed AI-powered nanosensors that let researchers track various kinds of biological molecules without disturbing them. 
Topological data analysis can help predict stock-market crashes
Research
EPFL
EPFL scientists, together with local startup L2F, have developed a robust model that can predict when a systemic shift is about to occur, based on methods from a branch of mathematics called topological data analysis.
Scientists unlock the secrets of glacier-fed streams
Research
EPFL
EPFL scientists have been busy over the past two years collecting and analyzing samples from streams fed by the world’s biggest glaciers. We spoke with some of the researchers on the project about their globe-trotting adventure. Find out more about it on our brand new longreads website.
A physical party to prove you're a real virtual person
Research
EPFL
The ease of creating fake virtual identities plays an important role in shaping the way information – and misinformation – circulates online. Could ‘pseudonym’ parties, that would verify proof of personhood not proof of identity, resolve this tension?
Monograph explores a vibrant quarter-century of architecture in Vaud
Research
EPFL
In a new monograph, Bruno Marchand and Pauline Schroeter document 25 years of architecture in the Canton of Vaud, from 1975 to 2000.
New nanotransistors keep their cool at high voltages
Research
EPFL
Power converters play an essential role in electric vehicles and solar panels, for example, but tend to lose a lot of power in the form of heat in the electricity conversion process. Thanks to a new type of transistor developed at EPFL, these converters can perform at substantially improved efficiencies, especially in high-power applications.
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