index - PaRis AI Research InstitutE Access content directly

Welcome on HAL open archive of PaRis AI Research InstitutE

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 web site.

Full text




Last deposit


Curvature penalization Computer Vision Semantics Transcriptomics Human-in-the-loop Brain MRI Zero-Shot Learning Huntington's disease Classification Wavelets Clinical data warehouse Convexity shape prior Anatomical MRI CamemBERT Hippocampus Weakly-supervised learning Alzheimer’s disease Representation learning Sparsity Clinical trial Stochastic optimization Brain Optimization Language Model Breast cancer Data imputation Attention Mechanism Clinical Data Warehouse Adaptation Alzheimer's disease Simulation Dementia Mixture models Microscopy Convex optimization Contrastive predictive coding Literature Complex systems Genomics Object detection Ensemble learning BCI Choroid plexus Deep Learning Image processing Confidence interval Deep learning Reproducibility Variational autoencoder Kalman filter Kernel methods Action recognition ASPM Multiple sclerosis Machine Learning Computational modeling Segmentation French Clustering Electronic health records Artificial intelligence Alzheimer's Disease Apprentissage par renforcement RNA localization Magnetic resonance imaging Longitudinal data Cancer Riemannian geometry Self-supervised learning ADNI Multiple Sclerosis Whole slide images Prediction Data visualization Neural networks Active learning Graph alignment BERT Bayesian logistic regression Dimensionality reduction Object discovery PET Reinforcement learning Bias SmFISH Functional connectivity Interpretability Neuroimaging Image synthesis Computational Pathology Poetry generation Association Apprentissage faiblement supervisé HIV Longitudinal study Medical imaging MRI Machine learning Computer vision Alzheimer
Site web du CNRS Site web d'Inria Institut Pasteur   PSL   Université de Paris