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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

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

 

 

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