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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

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

 

 

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