Artificial Intelligence
Bridging the “Valley of Death” in carbon capture
Research
EPFL
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 perspectives of diverse stakeholders early in the research process.
Navigating the labyrinth: How AI tackles complex data sampling
Research
EPFL
Researchers at EPFL have made a breakthrough in understanding how neural network-based generative models perform against traditional data sampling techniques in complex systems, unveiling both challenges and opportunities for AI's future in data generation.
AI matches protein interaction partners
Research
EPFL
Scientists at EPFL unveil DiffPALM, an innovative AI method that enhances the prediction of protein interactions and our understanding of biological processes potentially relevant to medical applications.
Mapping the biology of spinal cord injury in unprecedented detail
Research
EPFL
Combining advanced molecular mapping technologies and AI, 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.
An AI leap into chemical synthesis
Research
EPFL
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
Research
EPFL
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.
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