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The 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 website.

 

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Keywords

Data Augmentation High Content Screening Radiology Imaging biomarkers Adult-directed speech Image processing Representation learning Evaluation metrics Longitudinal data Adaptation Data augmentation Stochastic approximation BERT Adversarial training Poetry generation Speech perception Acoustic unit discovery Longitudinal study Semidefinite programming Inverse problems Deep learning Artificial intelligence Magnetic resonance imaging Convolutional neural networks Sparsity ASPM Segmentation Additional Key Words and Phrases Point processes Disease progression model Multiple sclerosis French Neural networks Unsupervised learning Image matching Manifold learning Image synthesis Action recognition Almost sure convergence rate Alzheimer’s disease Intrinsic dimension Graphical models Dimensionality reduction Diabetes Computer science Neighbourhood consensus Principal trees Reproducibility Acoustic distance Online learning Simulation Data visualization Contrastive predictive coding AI-based methods Riemannian geometry Computer vision Functional connectivity Quality control Image analysis Random walks MRI Microscopy Alzheimer's disease Data imputation Classification Adaptive algorithms Ensemble learning All Cognitive Disorders/Dementia Computer Vision Brain MRI Typology Speech recognition Unsupervised representation learning Human-in-the-loop ACCESS Discrete event simulation Stochastic optimization Optimization Virtual reality High-dimensional data Dementia Medical imaging Riemannian manifold Adaptive Questionnaire Bayesian learning ADNI Cancer 7-Tesla Machine learning Image segmentation Prediction BCI Data treatment Action localization Queneau Cross-cohort replication Image quality Software Mixture model Aging Machine Learning

 

 

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