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

 

 

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