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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.

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Keywords

Literature Cross-validation Bayesian logistic regression SmFISH Microscopy Deep learning Choroid plexus Association Segmentation Artificial intelligence Clinical data warehouse Bias Poetry generation Functional connectivity Clinical trial Clustering Classification Apprentissage faiblement supervisé Data augmentation Robotics Alzheimer's disease Kalman filter HIV MRI Machine learning Brain MRI Convex optimization Vision par ordinateur Deep Learning Adaptation Longitudinal data RNA localization Curvature penalization Image synthesis Software Breast cancer Alzheimer’s disease ADNI Riemannian geometry Computer vision Data leakage Object discovery Active learning Convolutional neural networks Data treatment Prediction Multiple sclerosis Contrastive predictive coding Convexity shape prior Data visualization Brain Self-supervised learning Virtual reality Alzheimer's Disease Hippocampus Neuroimaging Object detection Direct access BCI Longitudinal study Machine Learning Complex systems Computational modeling Diabetes Interpretability Dimensionality reduction Representation learning Reproducibility BERT Magnetic resonance imaging French Transcriptomics Huntington's disease Multiple Sclerosis Unsupervised learning Apprentissage par renforcement Alzheimer Digital Humanities Action recognition Dementia Anatomical MRI Computer Vision Data imputation Ensemble learning Mixture models Image processing Graph alignment Data Augmentation Stochastic optimization Human-in-the-loop Neural networks Genomics ASPM Cross-cohort replication Medical imaging Reinforcement learning Cancer Kernel methods Optimization Clinical Data Warehouse
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