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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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Inverse problems Stochastic optimization Computational Pathology Language acquisition Data imputation Natural language processing Portrait quality assessment Dimensionality reduction Medical imaging Artificial intelligence Bias Longitudinal study Language models Deep Learning Large language models Image synthesis Reinforcement learning Classification Neural networks HIV MT Machine Learning Magnetic resonance imaging Kalman filter Clustering PQA Machine translation Breast cancer Optimization Language Model Computational modeling Genomics Variational inference Reproducibility Functional connectivity Data visualization Mixture models Cancer Optimization and Control mathOC Loss function Alzheimer's Disease Literature Multiple Sclerosis Action recognition Computer Vision Conjunctive queries Fluorescence microscopy Representation learning Alzheimer’s disease Evaluation Hippocampus Deep generative models Image processing Image quality assessment Portraits Microscopy Brain MRI Exoplanet detection Online learning Interpretability Neuroimaging Human-in-the-loop Adaptation BERT FOS Mathematics Segmentation Robustness Whole slide images Machine learning PET Ensemble learning Longitudinal data Graph alignment Weakly-supervised learning Riemannian geometry Kernel methods Self-supervised learning Poetry generation Brain Disease progression modeling French First-order methods Huntington's disease Multiple sclerosis Alzheimer's disease Curvature penalization Computer vision Direct access Wavelets Electronic health records Validation Robotics Cross-validation Computational pathology Prediction Dementia MRI Variational autoencoder Object detection Deep learning
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