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



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