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