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