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-based rapid earthquake characterization using prompt elastogravity signals (Version 1.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.12751347
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this direction for LLM-augmented data processing. They show that the execution of LLM-based workflows raises new optimization problems, since cost, latency, and output quality depend on the choice and organization
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interactions: https://team.inria.fr/stars/) combines advanced theory with cutting edge practice focusing on cognitive vision systems. The research for this Ph.D. lies at the intersection of Computer Vision
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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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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
. These approaches allow for precise simulations of fluid mechanics applied to physiological processes, contributing to a better understanding of diseases and the development of innovative medical technologies