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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

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

 

 

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