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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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Additional Key Words and Phrases Point processes Amortised inference Poetry generation Stochastic approximation Data treatment Data visualization French Image analysis Deep learning Inverse problems Random walks AI-based methods Aging Software Longitudinal study Speech recognition Online learning Speech perception Disease progression model High-dimensional data Artificial intelligence Alzheimer's disease Image segmentation Bayesian learning Image processing Longitudinal data Almost sure convergence rate Magnetic resonance imaging Machine learning Typology Virtual reality Functional connectivity Manifold learning ASPM Riemannian geometry Simulation High Content Screening Modèle prédictif ACCESS Acoustic distance All Cognitive Disorders/Dementia Action recognition Image synthesis ADNI Machine Learning Predictive model Classification BERT Computer Vision Data Augmentation Analyse d'images Representation learning Stochastic optimization Dementia Alzheimer’s disease Computer vision Quality control Dimensionality reduction Principal trees Ensemble learning Alzheimer's Disease Neuroimaging Initiative Contrastive predictive coding Sparsity Structured sparsity Adversarial training Optimization Queneau Human-in-the-loop Neighbourhood consensus MRI Semidefinite programming Discrete event simulation Dossier médical électronique Imaging biomarkers Adaptive algorithms Unsupervised representation learning Brain MRI BCI Action localization Intrinsic dimension Adult-directed speech Image matching Evaluation metrics Medical imaging Graphical models Electronic medical record Unsupervised learning Convolutional neural networks Prediction Alzheimer's disease classification Data imputation Reproducibility Acoustic unit discovery Disease progression modeling 7-Tesla Riemannian manifold Microscopy Data augmentation Cross-cohort replication Image quality

 

 

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