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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
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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