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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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Representation learning BCI Reproducibility Computer Vision Riemannian geometry RNA localization Curvature penalization Kernel methods Longitudinal data Ensemble learning Self-supervised learning Brain Magnetic resonance imaging Apprentissage par renforcement ADNI Adaptation Interpretability Machine learning Evaluation Variational autoencoder Classification Electronic health records Medical imaging Deep Learning Anatomical MRI Functional connectivity Stochastic optimization Deep generative models Multiple Sclerosis French Alzheimer Weakly-supervised learning Whole slide images Machine Learning Online learning BERT Choroid plexus Reinforcement learning Clustering Breast cancer Bayesian logistic regression Clinical Data Warehouse Image synthesis HIV Variational inference Segmentation Artificial Intelligence CamemBERT Bias Optimization ASPM Zero-Shot Learning Graph alignment Data imputation Clinical data warehouse Attention Mechanism Alzheimer's disease Alzheimer's Disease Association Poetry generation Wavelets Multiple sclerosis Action recognition Longitudinal study MRI Apprentissage faiblement supervisé Transcriptomics Artificial intelligence Direct access Unsupervised anomaly detection Cross-validation Kalman filter Language acquisition Active learning Cancer Huntington's disease Dimensionality reduction Computer vision Image processing Mixture models Human-in-the-loop Genomics Data visualization Hippocampus Natural language processing Machine translation Dementia Prediction Neural networks Sparsity Object detection Brain MRI Literature Deep learning Simulation Neuroimaging Computational modeling Language Model Microscopy Alzheimer’s disease
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