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