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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

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

 

 

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