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