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



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