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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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Keywords

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

 

 

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