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