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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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Attention Mechanism Computer vision Classification Contrastive predictive coding Image matching Dossier médical électronique Evaluation metrics Stochastic approximation Analyse d'images Average 7-Tesla All Cognitive Disorders/Dementia Bayesian inference Almost sure convergence rate Assessment of cognitive disorders/Dementia Alzheimer's disease Simulation Electronic medical record ACCESS Data augmentation Bayesian learning Knowledge graph Acoustic unit discovery Image analysis Modèle prédictif Additional Key Words and Phrases Point processes Alzheimer's disease classification Medical imaging Machine Learning Structured sparsity Representation learning High-dimensional data Deep learning Data treatment Anatomical MRI Annotations management Artificial intelligence Neighbourhood consensus Convolutional neural networks High Content Screening Averaging process Queneau Optimization Adversarial training Image segmentation Magnetic resonance imaging Alzheimer’s disease Poetry generation ADNI Predictive model Balanced French Corpus Computer Vision Human-in-the-loop Typology Action localization Longitudinal data Argument Mining Bayesian estimation Dementia BERT Speech perception Allostery Microscopy Adult-directed speech Image quality Baillon-Haddad inequality Manifold learning Anisotropy enhancement Intrinsic dimension Argument Classification Annealing ASPM Aging Adaptive algorithms Data visualization Clustering Machine learning Banque Approximation Online learning Semidefinite programming French Audio features Automatic speech recognition Association Unsupervised representation learning Disease progression modeling Unsupervised learning Apprentissage automatique Image processing Reproducibility Acoustic distance Alzheimer's Disease Neuroimaging Initiative Prediction Stochastic optimization Speech recognition AI-based methods Discrete event simulation Principal trees Virtual reality



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