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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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Multiple sclerosis Reproducibility Language acquisition Online learning Computational Pathology Natural language processing Computational Literary Studies Robustness LLMs Self-supervised learning Vision par ordinateur MT Exoplanet detection Segmentation Alzheimer’s disease Direct access Machine Learning Classification Curvature penalization Computer Vision Computational modeling Reinforcement learning Computer Vision and Pattern Recognition csCV Bias Clinical data warehouse Breast cancer Computer vision Computational social choice Deep learning Image synthesis French Apprentissage automatique Computational pathology Hippocampus Clinical Data Warehouse Object detection BERT Kalman filter Functional connectivity Longitudinal data HIV Machine learning Image processing Cross-validation FOS Mathematics Deep generative models Portrait quality assessment Artificial intelligence Whole slide images Alzheimer's Disease Algorithms Robotics Convex optimization Adaptation Evaluation Alzheimer's disease Large language models Magnetic resonance imaging Machine translation Mixture models Riemannian geometry Neural networks Deformable models Dementia FOS Computer and information sciences Conjunctive queries Shared task Data imputation Phylodynamics Software Graph alignment Interpretability Wavelets Representation learning Clustering Loss function Transfer learning Action recognition Medical imaging RNA localization Validation Brain MRI Microscopy Simulation Kernel methods Neuroimaging Ensemble learning Data Augmentation Apprentissage profond Electronic health records Cancer Literature Brain MRI Context aware machine translation Variational autoencoder Optimization Data visualization Deep Learning Prediction
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