Since its release last year, the open-source platform BindCraft, developed at EPFL, has already disrupted the world of protein design.

EPFL researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.

Researchers at EPFL and the University of Geneva have developed a new algorithm that cracks an outstanding challenge in network science: dealing with directionality to detect communities. From neuroscience to social media and traffic patterns, this breakthrough reveals not just who’s connected—but who’s leading the pack.

EPFL professors Lenka Zdeborová, Florent Krzakala, and Matthieu Wyart are taking part in a major new international collaboration to uncover the fundamental principles behind artificial intelligence, thanks to a prestigious grant from the Simons Foundation. The project to unlock the scientific foundations of machine learning and help guide the future of AI.

Memory loss, tremors, paralysis: when parts of the nervous system start to break down – or get broken – the consequences for human health can be staggering. Can we fix the nervous system, and how are scientists approaching the problem? We take a deep dive into various strategies for interfacing with the nervous system to restore neuronal function.

EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees’ natural way to occupy space compared to current methods.