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The 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 website.


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Riemannian manifold MRI Statistical learning Clustering Convolutional neural networks Artificial intelligence Image segmentation Segmentation Magnetic resonance imaging Mixture model Local translation BCI Stochastic approximation Sampling Speech perception Image analysis Neighbourhood consensus Neuroimaging Computer science Speech recognition Data Augmentation Contrastive predictive coding Dimensionality reduction Erdős-Rényi random graphs Image matching Computer Vision Virtual reality Alzheimer’s disease HIV Machine Learning Data visualization Kernel methods Semidefinite programming ASPM Data augmentation Optimization Graph alignment Online learning Bayesian learning Adaptation Open-source Neural networks Image synthesis Microscopy Cross-cohort replication Multiple sclerosis High Content Screening Disease progression model Stochastic optimization Longitudinal data Cancer Classification Manifold learning BERT Genomics Convexity shape prior Intrinsic dimension Quality control Functional connectivity Random walks Sparsity Computer vision Image processing Poetry generation Human-in-the-loop Representation learning SmFISH Machine learning French Unsupervised learning Data treatment Data imputation Medical imaging Reproducibility Imaging biomarkers Image quality Inverse problems Eikonal equation Ensemble learning Queneau Graphical models Deep learning Dementia Computational modeling Riemannian geometry Transcriptomics Principal trees Curvature penalization Evaluation metrics High-dimensional data Typology Alzheimer's disease Unsupervised representation learning Brain MRI Radiology Simulation Diabetes Prediction Software Longitudinal study



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