Membrane protein analogues could accelerate drug discovery
EPFL researchers have created a deep learning pipeline for designing soluble analogues of key protein structures used in pharmaceutical development, sidestepping the prohibitive cost of extracting these proteins from cell membranes.
Unifying behavioral analysis through animal foundation models
Behavioral analysis can provide a lot of information about the health status or motivations of a living being. A new technology developed at EPFL makes it possible for a single deep learning model to detect animal motion across many species and environments. This “foundational model”, called SuperAnimal, can be used for animal conservation, biomedicine, and […]
Mapping the biology of spinal cord injury in unprecedented detail
Combining advanced molecular mapping technologies and AI, EPFL researchers have published an open-source ‘atlas’ in Nature, providing a comprehensive understanding of spinal cord injury biology in mice and paving the way for new therapies.
Scientists map biodiversity changes in the world’s forests
A group of EPFL and ETH Zurich scientists have mapped the biodiversity in forests worldwide. Their data, when combined with climate projections, reveal trends that could support ecosystem conservation and restoration efforts.
“I want to give students a toolbox for identifying ethical issues”
Johan Rochel, a philosopher who holds a PhD in law, is an EPFL scientist working to develop teaching resources on philosophy and the ethics and law of technology. In 2023, he received a DRIL Grant to make a series of videos for the EPFL community, which came out in March 2024, and began teaching a new course on The […]
An AI leap into chemical synthesis
EPFL scientists introduce ChemCrow, a large language model-based AI system that revolutionizes chemistry by integrating 18 advanced tools for tasks like organic synthesis and drug discovery. ChemCrow streamlines complex processes in chemical research, making it more efficient for experts and novices alike.
Machine learning accelerates discovery of solar-cell perovskites
An EPFL research project has developed a method based on machine-learning to quickly and accurately search large databases, leading to the discovery of 14 new materials for solar cells.
Tailoring digital responses for humanitarian action
EPFL is playing a leading role in partnering with humanitarian organizations to develop technological solutions to improve their operations while mitigating risks.
EPFL Applied Machine Learning Days: Energy, Maturity and Optimism
As we look ahead to the developments in AI that will feature at EPFL’s Applied Machine Learning Days 2025 (AMLD 2025), we reflect on this year’s event with a focus on safe and transparent AI for society.
Modular software for scientific image reconstruction
EPFL engineers have developed new software called Pyxu that makes it easier and faster to reconstruct images taken at any scale. Their system employs reusable, and universally applicable, bricks of algorithms.