HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation

Welcome on HAL open archive of PaRis AI Research InstitutE

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.

 

Last deposit

Chargement de la page
 

 

full text

348

references

107

Keywords

Convexity shape prior French Genomics Multiple sclerosis Medical imaging Neural networks Erdős-Rényi random graphs Optimal control Radiology Speech recognition Cross-cohort replication Cancer Vision par ordinateur Image processing Computational modeling Contrastive predictive coding Emergence High Content Screening Data visualization Independent Component Analysis Deep Learning Adaptation Optimisation MCMC-SAEM Intrinsic dimension Data imputation Graphical models Language Modeling Ranking Brain MRI Principal trees Human-in-the-loop Digital Humanities Computer vision Artificial intelligence Classification Evaluation metrics High-dimensional data Neuroimaging Data treatment Anatomical MRI Ensemble learning Alzheimer's disease Clinical data warehouse Longitudinal study Graph alignment Disease progression model Stochastic optimization ADNI Clustering HIV Optimization BERT Machine learning Bayesian logistic regression Queneau Kalman filter Poetry generation Reproducibility Manifold learning Online learning Open-source MRI Self-supervised learning Interpretability Kernel methods Functional connectivity Transcriptomics Dimensionality reduction Object discovery ASPM BCI Mixture models Provenance Multimodal Neighbourhood consensus Machine Learning Object detection Prediction Imitation learning Curvature penalization Speech perception Computer Vision Action recognition Longitudinal data Eikonal equation Bias Random walks Inverse problems Riemannian geometry Dementia Representation learning Microscopy Deep learning Brain Local translation Data Augmentation Diabetes Alzheimer’s disease Magnetic resonance imaging

 

 

CNRS      Inria   Institut Pasteur  PSL    Université de Paris