News

Tracking behaviour to understand the brain

5 September, 2024

Scientist Mackenzie W. Mathis, a professor at EPFL and winner of the Swiss Science Prize Latsis 2024, has developed pioneering artificial intelligence algorithms in behavioural neuroscience.

“We should always have a human approach to AI”

5 September, 2024

Vinitra Swamy and Paola Mejia-Domenzain are the first two graduating PhDs of EPFL’s Machine Learning for Education Laboratory (ML4ED). They are aiming to bring AI-powered upskilling to adult learners.

AI tool maps out cell metabolism with precision

2 September, 2024

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

28 August, 2024

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…

An entire brain-machine interface on a chip

26 August, 2024

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

“When imaging advances, science advances”

19 August, 2024

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…

AI enhances chemical analysis at the nanoscale

13 August, 2024

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

A new AI approach to protein design

7 August, 2024

EPFL researchers have developed a novel AI-driven model designed to predict protein sequences from backbone scaffolds, incorporating complex molecular environments. It promises significant advancements in protein engineering and applications across…

Engineers bring efficient optical neural networks into focus

6 August, 2024

EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they used scattered light from…

Stranger Danger and online fringe communities

5 August, 2024

New EPFL research has found that the exchange of comments between members and non-members of fringe communities (fringe-interactions) on mainstream online platforms attracts new members to these groups. It has…

Flying like a beetle

2 August, 2024

In a new study, EPFL scientists found that rhinoceros beetles use passive mechanisms to deploy and retract wings instead of muscles. The findings inspired them to design a new microrobot,…

Making a difference with the MAKE Assistive Technologies Challenge

29 July, 2024

Thanks to the dedication of EPFL students, all motivated by the potential to make a difference in someone’s life, six MAKE prototypes were built last semester with the aim of…

Bridging the “Valley of Death” in carbon capture

18 July, 2024

Developed at EPFL, Heriot-Watt University, and ETH Zurich, PrISMa is a new platform that uses advanced simulations and machine learning to streamline carbon capture technologies, by taking into account the…