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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

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