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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

Speech perception Data treatment Medical imaging BERT Principal trees Image segmentation Contrastive predictive coding Functional connectivity BCI Unsupervised learning ASPM Disease progression model Semidefinite programming Prediction Neural networks Classification Riemannian geometry Online learning Bayesian learning Optimization 19th - 20th century Brain MRI Stochastic optimization Computational modeling Queneau Statistical learning Computer science Manifold learning Longitudinal data Random walks Riemannian manifold Machine learning Dimensionality reduction Action localization Alzheimer's disease Data visualization Convolutional neural networks Inverse problems Stochastic approximation French Ensemble learning Image matching Adaptation Curvature penalization High-dimensional data Action recognition High Content Screening Magnetic resonance imaging ADNI Microscopy Multiple sclerosis Neuroimaging Longitudinal study Segmentation Radiology Neighbourhood consensus Acoustic unit discovery Image synthesis Cross-cohort replication Active contours Typology Convexity shape prior Data augmentation Poetry generation Speech recognition MRI Data imputation Deep learning Computer Vision Image analysis Image processing Data Augmentation ACCESS Human-in-the-loop Machine Learning 7-Tesla Quality control Eikonal equation Sparsity Open-source AI-based methods Evaluation metrics Image quality Acoustic distance Computer vision Virtual reality Alzheimer’s disease Simulation Cancer Software Intrinsic dimension Unsupervised representation learning Reproducibility Imaging biomarkers Artificial intelligence Representation learning Graphical models Diabetes Mixture model Dementia

 

 

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