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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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Cross-cohort replication Data imputation Convexity shape prior BCI Literature Graphical models Alzheimer's Disease Language Modeling Intrinsic dimension HIV Idiolect Data visualization Disease progression model ADNI Magnetic resonance imaging Curvature penalization MRI Brain MRI Manifold learning Object detection Wavelets Impulse control disorders Genomics Kalman filter French Microscopy Classification Speech recognition Representation learning Dementia Adaptation Interpretability Eikonal equation Deep Learning Contrastive predictive coding Data leakage Emergence Virtual reality Data Augmentation Transcriptomics Imitation learning MCMC-SAEM Medical imaging Graph alignment Longitudinal analysis Evaluation metrics Mixture models Functional connectivity Self-supervised learning Longitudinal study Alzheimer’s disease Data treatment BERT Robotics Riemannian geometry Poetry generation Independent Component Analysis High Content Screening Alzheimer's disease Neuroimaging Bayesian logistic regression Reproducibility Computer vision Computer Vision Action recognition Digital Humanities Artificial intelligence Brain Ensemble learning Bias Erdős-Rényi random graphs Segmentation First-order methods Mixed-effects models Machine learning Inverse problems Human-in-the-loop Dimensionality reduction Prediction Vision par ordinateur Clustering Kernel methods Image synthesis ASPM Image processing Cancer Machine Learning Local translation Association Deep learning Optimization Longitudinal data Anatomical MRI Diabetes High-dimensional data Stochastic optimization Computational modeling Clinical data warehouse Speech perception Convex optimization

 

 

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