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AI scientists and doctors partner to understand who is at risk for persistent post-surgical pain
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AI scientists and doctors partner to understand who is at risk for persistent post-surgical pain
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Scientists at EPFL have created MammAlps, a multi-view, multi-modal video dataset that captures how wild mammals behave in the Swiss Alps. This new resource could be a game-changer for wildlife monitoring and conservation efforts.
Featured
Researchers at ETH Zurich and Empa have developed a new image sensor made of perovskite. This semiconductor material enables better colour reproduction and fewer image artefacts with less light. Perovskite sensors are also particularly well suited for machine vision.
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Latest Posts
AI scientists and doctors partner to understand who is at risk for persistent post-surgical pain
4 minutes read
Scientists at EPFL have created MammAlps, a multi-view, multi-modal video dataset that captures how wild mammals behave in the Swiss Alps. This new resource could be a game-changer for wildlife monitoring and conservation efforts.
3 minutes read
Researchers at ETH Zurich and Empa have developed a new image sensor made of perovskite. This semiconductor material enables better colour reproduction and fewer image artefacts with less light. Perovskite sensors are also particularly well suited for machine vision.
4 minutes read
Scientists at EPFL have unraveled the details of the first crucial step in the oxygen evolution reaction, a bottleneck for clean hydrogen production, using advanced simulations and machine learning techniques.
3 minutes read
The system automatically learns to adapt to unknown disturbances such as gusting winds.
A team of international researchers led by EPFL developed a multilingual benchmark to determine Large Language Models ability to grasp cultural context.
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In addition to training future players, the technology could expand the capabilities of other humanoid robots, such as for search and rescue.
EPFL researchers have discovered key 'units' in large AI models that seem to be important for language, mirroring the brain's language system. When these specific units were turned off, the models got much worse at language tasks.
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New type of "state-space model" leverages principles of harmonic oscillators.
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"IntersectionZoo," a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.
EPFL researchers have developed the first AI model of language in the brain that captures both how neurons are arranged and how they function.
3 minutes read
