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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
Data Augmentation
Brain
Software
MT
Medical imaging
Alzheimer's disease
Graph alignment
Direct access
Deep generative models
MRI
Neural networks
Evaluation
RNA localization
Online learning
Wavelets
Dementia
Convex optimization
Longitudinal data
Action recognition
Literature
FOS Computer and information sciences
Apprentissage automatique
Computational pathology
Data imputation
Conjunctive queries
Curvature penalization
Computational social choice
Self-supervised learning
Variational autoencoder
Computer Vision and Pattern Recognition csCV
Robotics
Brain MRI
Kernel methods
Cancer
Context aware machine translation
Vision par ordinateur
Shared task
French
Exoplanet detection
Clinical Data Warehouse
Hippocampus
Deformable models
Reinforcement learning
Whole slide images
Language acquisition
Image processing
BERT
Algorithms
Adaptation
Data visualization
Magnetic resonance imaging
Clustering
Loss function
Validation
Interpretability
Mixture models
Riemannian geometry
Reproducibility
Microscopy
Functional connectivity
LLMs
FOS Mathematics
Multiple sclerosis
Ensemble learning
Machine learning
Computational Literary Studies
Computational modeling
Deep Learning
Representation learning
HIV
Breast cancer
Apprentissage profond
Machine Learning
Natural language processing
Deep learning
Neuroimaging
Optimization
Alzheimer's Disease
Classification
Electronic health records
Alzheimer’s disease
Prediction
Portrait quality assessment
Computer Vision
Computer vision
Segmentation
Computational Pathology
Machine translation
Kalman filter
Simulation
Phylodynamics
Transfer learning
Cross-validation
Robustness
Artificial intelligence
Clinical data warehouse
Object detection
Large language models
Bias
Image synthesis
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