Unlike traditional software applications, where user actions have immediate and predictable results, CV workflows introduce inherent conceptual and interaction complexities that require a different UX approach.
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A novel framework offers accurate water flow predictions and simulations with unprecedented efficiency
6 minutes read
Article #1 of Confronting AI Series: AI is rapidly evolving beyond language models, quietly transforming fields like vision, prediction, and control. Explore how diverse AI techniques are solving complex challenges where text-based approaches fall short.
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI like chatbots so good at understanding and using words.
3 minutes read
Machine-learning framework predicts effects of electric fields
3 minutes read
WashU interdisciplinary research uses machine learning to offer accurate prediction of preterm birth
3 minutes read
AI scientists and doctors partner to understand who is at risk for persistent post-surgical pain
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.
A REVIEW OF PAST AND FUTURE CDFAM PRESENTATIONS
6 minutes read
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.
4 minutes read
New type of "state-space model" leverages principles of harmonic oscillators.
"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.
