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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 web site.

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Keywords

Association Clinical Data Warehouse Dimensionality reduction Robotics Microscopy Cancer Stochastic optimization Adaptation Magnetic resonance imaging Digital Humanities Bayesian logistic regression Disease progression modeling Direct access Longitudinal data Deep Learning ASPM Data Augmentation Speech recognition Apprentissage faiblement supervisé Functional connectivity Neuroimaging Speech perception Dementia Deep learning Contrastive predictive coding Data treatment Reproducibility Medical imaging Representation learning Optimisation Stochastic Optimization Clinical data warehouse Self-supervised learning Software Bioimaging Machine Learning Convexity shape prior French Computational modeling Cross-cohort replication Vision par ordinateur BCI Anatomical MRI Optimization Poetry generation Transcriptomics Ensemble learning Data leakage Unsupervised learning Brain MRI Alzheimer's Disease Curvature penalization Breast cancer Cosmological parameters Action recognition Computer Vision Artificial intelligence Brain HIV Classification Multiple Sclerosis Segmentation Electronic health records Data augmentation ADNI Emergence Multiple sclerosis Alzheimer's disease Alzheimer’s disease Bias Riemannian geometry Machine learning Statistical learning Diabetes Object discovery Active learning Mixture models Longitudinal study Convolutional neural networks Image processing Genomics Human-in-the-loop Data visualization Literature Prediction BERT Kalman filter Data imputation Computer vision Augmented reality Disease progression model Object detection MRI Convex optimization Clustering Graph alignment Virtual reality Eikonal equation Image synthesis Kernel methods
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