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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 Clustering Local translation Image quality Principal trees Optimisation Random walks Graphical models Kalman filter Computer vision Convexity shape prior Radiology Cross-cohort replication Vision par ordinateur Classification Mixture models Stochastic optimization Unsupervised learning Data treatment Cancer Clinical data warehouse Inverse problems Ensemble learning Alzheimer's disease Longitudinal data Neural networks ASPM Imitation learning Deep learning MCMC-SAEM French Online learning Image analysis Neuroimaging BCI Object detection Intrinsic dimension Manifold learning Prediction Data Augmentation Computer science Speech recognition Dementia Microscopy Brain MRI Machine Learning Erdős-Rényi random graphs Magnetic resonance imaging Reproducibility Convolutional neural networks Deep Learning High-dimensional data Human-in-the-loop Medical imaging Bias HIV Kernel methods Curvature penalization Image processing Adaptation Bayesian logistic regression Graph alignment Image matching ADNI Data imputation Disease progression model Functional connectivity Data augmentation Contrastive predictive coding Object discovery Computational modeling Computer Vision Data visualization High Content Screening BERT Diabetes Optimization Longitudinal study Emergence Multiple sclerosis Large-scale Machine learning Action recognition Self-supervised learning Image synthesis Anatomical MRI Open-source Digital Humanities Neighbourhood consensus Image segmentation Queneau Eikonal equation Language Modeling Dimensionality reduction Alzheimer’s disease Artificial intelligence Poetry generation Genomics MRI Evaluation metrics



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