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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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ASPM Functional connectivity Riemannian manifold Brain MRI ACCESS Speech perception Dimensionality reduction Poetry generation Representation learning Multiple sclerosis Contrastive predictive coding Acoustic unit discovery Prediction Cross-cohort replication Image matching Image analysis Graphical models Machine Learning Data treatment Riemannian geometry Neighbourhood consensus BCI Action localization Disease progression model Eikonal equation French Diabetes Image segmentation Bayesian learning Longitudinal data High Content Screening Manifold learning Unsupervised representation learning Imaging biomarkers Alzheimer’s disease Machine learning Optimization Statistical learning Computer Vision 19th - 20th century Stochastic approximation Cancer Human-in-the-loop 7-Tesla Microscopy Image processing Action recognition Principal trees Sparsity Computer vision Ensemble learning Data imputation Stochastic optimization Virtual reality Radiology Evaluation metrics Random walks Data augmentation Data Augmentation Speech recognition Curvature penalization AI-based methods Simulation Computational modeling Classification Software Neuroimaging Typology Alzheimer's disease Adaptation Quality control Image synthesis Inverse problems Magnetic resonance imaging Acoustic distance Intrinsic dimension Convolutional neural networks Semidefinite programming Image quality Dementia Queneau ADNI Convexity shape prior Mixture model Artificial intelligence High-dimensional data MRI Active contours Open-source Segmentation Data visualization Deep learning BERT Reproducibility Unsupervised learning Longitudinal study Neural networks Online learning Medical imaging Computer science



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