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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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Classification Dossier médical électronique Image segmentation Typology All Cognitive Disorders/Dementia Convolutional neural networks Data Augmentation ASPM Magnetic resonance imaging Data augmentation French Sparsity Acoustic unit discovery Online learning Quality control Image analysis Human-in-the-loop High-dimensional data Stochastic optimization Action localization Contrastive predictive coding Alzheimer's disease classification Brain MRI Poetry generation Microscopy Semidefinite programming Deep learning ADNI Predictive model Data visualization ACCESS Almost sure convergence rate Simulation Electronic medical record Prediction Software Neighbourhood consensus BCI Aging Disease progression model Data imputation 7-Tesla Unsupervised representation learning Modèle prédictif Image quality Medical imaging Intrinsic dimension Image matching Adaptive algorithms Principal trees Functional connectivity AI-based methods Inverse problems Alzheimer's Disease Neuroimaging Initiative Image processing Optimization Speech recognition Additional Key Words and Phrases Point processes Discrete event simulation Acoustic distance Manifold learning Stochastic approximation High Content Screening Representation learning Graphical models BERT Riemannian geometry Machine learning Amortised inference Machine Learning Speech perception Queneau Image synthesis Computer Vision Artificial intelligence Data treatment Adult-directed speech Disease progression modeling Computer vision Reproducibility Riemannian manifold Evaluation metrics Bayesian learning Unsupervised learning Imaging biomarkers Cross-cohort replication Adversarial training Virtual reality Structured sparsity Dimensionality reduction Action recognition Alzheimer’s disease Ensemble learning Random walks Dementia MRI Longitudinal study SPD matrices Alzheimer's disease Longitudinal data



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