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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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Poetry generation Longitudinal data Classification Artificial intelligence Contrastive predictive coding Convex optimization Data Augmentation Clinical trial Deep learning Alzheimer’s disease Brain MRI Clinical Data Warehouse Object discovery Active learning Anatomical MRI Image processing Dementia Choroid plexus Kernel methods Brain Unsupervised learning Data imputation Machine learning Segmentation Adaptation Representation learning MRI ASPM Data visualization Computational modeling Alzheimer Object detection Simulation Neuroimaging Breast cancer Cross-cohort replication Multiple sclerosis Alzheimer's Disease ADNI Transcriptomics Stochastic optimization Weakly-supervised learning Curvature penalization Alzheimer's disease Mixture models Machine Learning Association Computer Vision Apprentissage par renforcement RNA localization Whole slide images Neural networks Clustering Convexity shape prior Data leakage Huntington's disease Literature Magnetic resonance imaging Robotics Hippocampus Computational Pathology Longitudinal study Graph alignment French Complex systems Apprentissage faiblement supervisé Clinical data warehouse Genomics Bias Deep Learning Bayesian logistic regression Convolutional neural networks Image synthesis Cross-validation Riemannian geometry Kalman filter SmFISH Cancer Ensemble learning Self-supervised learning Human-in-the-loop Microscopy Interpretability Dimensionality reduction HIV Vision par ordinateur Action recognition Virtual reality Data augmentation Prediction Software Reproducibility BCI Medical imaging Multiple Sclerosis BERT Functional connectivity Computer vision Reinforcement learning Optimization
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