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