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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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Brain MRI BERT Image synthesis ASPM BCI Dementia Mixed-effects models Language Modeling Robotics Self-supervised learning Impulse control disorders HIV Bias Vision par ordinateur Deep learning Multimodal Data visualization Image processing Alzheimer’s disease Optimization Erdős-Rényi random graphs Kalman filter Medical imaging Disease progression model ADNI Action recognition Speech perception Segmentation Alzheimer's Disease Convex optimization Prediction Microscopy Mixture models Adaptation Longitudinal data Genomics Clustering Manifold learning Poetry generation Classification Stochastic optimization Neuroimaging High Content Screening Inverse problems Graph alignment Anatomical MRI Riemannian geometry Data Augmentation Reproducibility Convexity shape prior Brain MRI High-dimensional data Representation learning Transcriptomics Digital Humanities Local translation Object detection Idiolect First-order methods Longitudinal analysis Functional connectivity Ensemble learning Data treatment Cross-cohort replication Computational modeling Wavelets Magnetic resonance imaging Eikonal equation Machine learning Clinical data warehouse Diabetes Independent Component Analysis MCMC-SAEM Literature Cancer Alzheimer's disease Contrastive predictive coding Computer Vision Imitation learning Human-in-the-loop Data leakage Graphical models Bayesian logistic regression Longitudinal study Interpretability Artificial intelligence Data imputation Association Machine Learning Speech recognition Deep Learning Computer vision Kernel methods Emergence Dimensionality reduction Evaluation metrics Curvature penalization French Intrinsic dimension



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