News
EPFL and ETH Zurich enhance collaboration to boost AI in Switzerland
3 October, 2024EPFL and ETH Zurich are intensifying their collaboration in artificial intelligence (AI). They have founded the Swiss National AI Institute (SNAI) with the aim of addressing challenges in AI by…
Modeling the minutia of motor manipulation with AI
2 October, 2024An AI research collaboration led by EPFL professor Alexander Mathis creates a model which provides deep insights into hand movement, which is an essential step for the development of neuroprosthetics…
AI helps detect and monitor infrastructure defects
25 September, 2024Thanks to recent advances in artificial intelligence (AI), civil engineers can inspect large-scale infrastructure more efficiently and cost-effectively, while also monitoring the progression of damage severity over time. A team…
Students seem to prefer teacher feedback over AI feedback
17 September, 2024A new EPFL paper has found that students are cautious towards AI feedback, highlighting the complexity of integrating it into educational feedback systems.
Large Language Models feel the direction of time
16 September, 2024Researchers have found that AI large language models, like GPT-4, are better at predicting what comes next than what came before in a sentence. This “Arrow of Time” effect could…
AI helps distinguish dark matter from cosmic noise
10 September, 2024An AI-powered tool developed at EPFL can distinguish dark matter’s elusive effects from other cosmic phenomena, which could bring us closer to unlocking the secrets of dark matter.
An Unparalleled Map of the Brain-Spinal Cord Connection
6 September, 2024Researchers at EPFL unlock a detailed understanding of brain and spinal cord interactions. The tool paves the way for future research breakthroughs and innovative therapeutic approaches.
Tracking behaviour to understand the brain
5 September, 2024Scientist 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, 2024Vinitra 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, 2024Scientists 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, 2024Medical 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, 2024Researchers 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, 2024Sabine 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…