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3AI Plan

The Prairie Institute (PaRis AI Research InstitutE) is one of the four French Institutes of Artificial Intelligence, which were created as part of the national French initiative on AI announced by President Emmanuel Macron on May 29, 2018.

A major part of this ambitious plan, which has a total budget of one billion euros, was the creation of a small number of interdisciplinary AI research institutes (or “3IAs” for “Instituts Interdisciplinaires d’Intelligence Artificielle”). After an open call for participation in July 2018 and two rounds of review by an international scientific committee, the Grenoble, Nice, Paris and Toulouse projects have officially received the 3IA label on April 24, 2019, with a total budget of 75 million Euros.

For more information about PaRis AI Research InstitutE, see our web site.

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Curvature penalization Clustering Inverse problems Language Model Computer vision Language acquisition HIV Adaptation Kalman filter Brain Image processing Loss function Robotics Conjunctive queries Brain MRI Language models Whole slide images Dementia BERT Electronic health records Computational pathology Graph alignment Data visualization Exoplanet detection Optimization and Control mathOC Action recognition Bias LLMs Deep learning Multiple Sclerosis Multiple sclerosis Riemannian geometry Data imputation Object detection Computer Vision Alzheimer’s disease Fluorescence microscopy Neural networks Classification Artificial intelligence Direct access Magnetic resonance imaging Validation Deep generative models Functional connectivity Ensemble learning Prediction Huntington's disease Optimization FOS Mathematics Robustness Evaluation Alzheimer's disease Wavelets Hippocampus Literature Reinforcement learning Image synthesis Online learning MRI Cross-validation Image quality assessment Interpretability Breast cancer Mixture models Representation learning French Convex optimization Large language models MT Medical imaging Alzheimer's Disease Natural language processing Clinical Data Warehouse Disease progression modeling Variational autoencoder Neuroimaging Computational Pathology Segmentation Genomics Human-in-the-loop Machine learning Reproducibility Kernel methods Simulation Clinical data warehouse Data Augmentation Cancer Deep Learning Transfer learning Dimensionality reduction PET Software First-order methods Self-supervised learning Computational modeling Longitudinal data Microscopy Machine translation Machine Learning
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