EPFL
AI unlocks new insights in neurodegenerative disease research
Research
EPFL
EPFL researchers develop an AI-driven, label-free method for studying protein aggregates, offering new perspectives in neurodegenerative disease research.
Training algorithm breaks barriers to deep physical neural networks
Research
EPFL
EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware.
Enhanced AI tracks neurons in moving animals
Research
EPFL
EPFL and Harvard scientists have developed a pioneering new method that uses deep learning and a new technique called ‘targeted augmentation’ to track neurons in moving and deforming animals.
Joint initiative for trustworthy AI
Politics
EPFL ETH Zurich
ETH Zurich and EPFL are launching the “Swiss AI Initiative”, whose purpose is to position Switzerland as a leading global hub for the development and implementation of transparent and reliable artificial intelligence (AI). The new Alps supercomputer based at the Swiss National Supercomputing Centre (CSCS) provides the supporting world-class infrastructure.
A color-based sensor to emulate skin's sensitivity
Research
EPFL
In a step toward more autonomous soft robots and wearable technologies, EPFL researchers have created a device that uses color to simultaneously sense multiple mechanical and temperature stimuli.
Experts revive ancient techniques to make concrete more sustainable
Research
EPFL
A team of experts from EPFL, ETH Zurich and a Geneva-based architecture firm has developed a new type of non-reinforced concrete made from stone offcuts. Their method, which reduces the use of carbon-intensive cement-based binders, draws on ancient techniques uncovered in historical archives.
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