EPFL
Scientists compile an inventory of endangered microorganisms
Research
EPFL
Cryospheric ecosystems are some of the oldest on the planet. EPFL scientists have found that the microorganisms living in them have a unique genetic signature. They performed an inventory of the microorganisms in these ecosystems and complied the information into a database, which will be a useful resource for future studies on climate change microbiology.
EPFL students acquire a taste for entrepreneurship
Teaching
EPFL
In 2018, EPFL introduced a program whereby highly motivated Master’s students can create a startup for their Master’s projects. We spoke with two recent graduates who used the program to launch their own businesses.
Perfect privacy technology and chasing rainbows
Research
EPFL
From banking to communication our modern, daily lives are driven by data with ongoing concerns over privacy. Now, a new EPFL paper argues that many promises made around privacy-preserving mechanisms will never be fulfilled and that we need to accept these inherent limits and not chase the impossible.
Radio astronomy to foster Swiss research and industry
Politics
EPFL
By becoming a member of the SKA Observatory (SKAO), the largest and most ambitious radio astronomy collaboration in the world, Switzerland intends to foster Swiss research and industry while contributing to an international initiative that promises to revolutionize our understanding of the Universe.
Turning drug discovery into speed dating
TechTransfer
EPFL
EPFL spin-off ArcoScreen has developed a platform that turns the discovery of new drugs for Alzheimer’s and Parkinson’s disease, diabetes and cancer from a marathon into a sprint. The firm’s microfluidic readout system assesses the response of G-protein-coupled receptors (GPCRs) to new substances, delivering significant time and financial gains for pharmaceutical companies.
The missing piece to faster, cheaper and more accurate 3D mapping
Research
EPFL
Engineers at EPFL and the University of Geneva believe they hold the key to automated drone mapping. By combining artificial intelligence with a new algorithm, their method promises to considerably reduce the time and resources needed to accurately scan complex landscapes.
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