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



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