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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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Deep Learning Ensemble learning Clinical data warehouse Enumeration Dimensionality reduction Cancer Imitation learning Electronic health records Computer vision Magnetic resonance imaging Artificial intelligence Alzheimer’s disease Direct access Augmented reality Functional connectivity Computational modeling Contrastive predictive coding Cross-cohort replication Microscopy Dementia Impulse control disorders Hard example mining Association Speech recognition Poetry generation Graphical models Data Augmentation Robotics Bayesian logistic regression Riemannian geometry Independent Component Analysis Stochastic optimization Deep learning BCI Mixture models Alzheimer's Disease Statistical learning Prediction French Stochastic Optimization Self-supervised learning Eikonal equation Diabetes Optimization Idiolect Longitudinal study Emergence MRI HIV Fine-grained complexity Transcriptomics Alzheimer's disease Clustering ASPM Digital Humanities Data visualization Speech perception Convexity shape prior Evaluation metrics Image processing Human-in-the-loop Curvature penalization Literature Classification Erdős-Rényi random graphs ADNI Reproducibility Image synthesis Data imputation Brain Bias Data leakage Vision par ordinateur Inference Action recognition Anatomical MRI Object detection Multiple sclerosis Medical imaging Genomics Disease progression model First-order methods Graph alignment Data augmentation Bioimaging Machine learning Neuroimaging Kalman filter High-dimensional data High Content Screening Data treatment Segmentation Convex optimization Representation learning Machine Learning Virtual reality BERT Computer Vision Adaptation Brain MRI



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