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