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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

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

 

 

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