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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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Microscopy Language acquisition Machine learning Literature French Functional connectivity Longitudinal data Unsupervised anomaly detection CamemBERT Dimensionality reduction Attention Mechanism Interpretability Representation learning Evaluation Reinforcement learning Ensemble learning Optimization Bayesian logistic regression Action recognition Artificial Intelligence Object detection Data visualization Machine translation Dementia HIV Alzheimer's Disease Anatomical MRI Curvature penalization Multiple sclerosis Electronic health records Brain Computer Vision Longitudinal study Hippocampus Clustering Zero-Shot Learning Image synthesis Deep Learning Graph alignment Direct access Alzheimer's disease RNA localization Breast cancer MRI BCI Cross-validation Choroid plexus Magnetic resonance imaging Active learning Variational autoencoder Medical imaging Language Model Simulation Transcriptomics Computational modeling Self-supervised learning Computer vision Alzheimer Stochastic optimization ADNI Multiple Sclerosis Clinical Data Warehouse Genomics Variational inference Riemannian geometry Data imputation Sparsity Adaptation Association Neuroimaging Reproducibility Bias Natural language processing Whole slide images Neural networks Machine Learning Mixture models ASPM Prediction Weakly-supervised learning Artificial intelligence Classification Apprentissage par renforcement Wavelets Alzheimer’s disease Kernel methods Clinical data warehouse Brain MRI Cancer Image processing Online learning Kalman filter BERT Poetry generation Deep generative models Human-in-the-loop Deep learning Segmentation Huntington's disease Apprentissage faiblement supervisé
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