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