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