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structured data processing and an opening toward applications in software engineering. Research program The project will investigate how to generate and execute specialized LLM-based workflows from high-level
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group: MARIANNE (https://team.inria.fr/marianne/). The MARIANNE project-team pursues high-impact research in Artificial Intelligence with a focus on data and models for computational argumentation in
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for magnitudes between 7 and 8. Research program The project will aim to adapt PEGSGraph (Juhel et al., 2024), a graph neural network we designed for rapid magnitude estimation from PEGS (Hourcade et al., 2025) in
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
. 20 to 30% of ischemic strokes are cardio-embolic, an incidence that increases with age. These strokes are more severe than others, 40% more costly, and victims share high rates of early and long-term
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Context Recent advances in computer vision and generative AI have enabled major breakthroughs in image and video understanding. However, modern deep learning models remain critically dependent
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studies have shown that rigid non-spherical particles, such as ellipsoids or fibers, preferentially sample specific regions of turbulence, often accumulating in zones of high vorticity or strain. However