News EPFL

AI tool maps out cell metabolism with precision

Published:02.09.24 — Scientists at EPFL have developed an AI tool that creates detailed models of cellular metabolism, making it easier to understand how cells function. 

Medical imaging aims to bring the invisible to light

Published:28.08.24 — Medical imaging technology – such as MRI, ultrasound and X-ray – is gaining in power and precision, especially in the wake of recent breakthroughs in artificial intelligence. Several EPFL research groups are contributing to this progress and actively shaping the future in this area.

An entire brain-machine interface on a chip

Published:26.08.24 — Researchers from EPFL have developed a next-generation miniaturized brain-machine interface capable of direct brain-to-text communication on tiny silicon chips.

From clouds to fjords, the Arctic bears witness to climate change

Published:22.08.24 — Climate change is particularly intense in the Arctic. To assess its consequences and determine what role this region plays in global warming, two teams of scientists from EPFL have visited the area. One to gain a better understanding of the region's air composition, the other to quantify the greenhouse gases sequestered in Greenland fjords sourced by glacial water.

“When imaging advances, science advances”

Published:19.08.24 — Sabine Süsstrunk, an expert in scientific photography, has seen first-hand the amazing progress in imaging technology over the past 40 years. And now her field is being upended by artificial intelligence (AI).

Finding security flaws in Android ahead of malicious hackers

Published:15.08.24 — Are you concerned about hackers stealing your fingerprint and face data for accessing your smartphone? EPFL researchers have found numerous security flaws in Android’s most privileged components before hackers do and give advice to users on how to reduce risks.

AI enhances chemical analysis at the nanoscale

Published:13.08.24 — EPFL scientists have developed an AI-based technique to improve chemical analysis of nanomaterials, overcoming challenges of noisy data and mixed signals.