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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
Deep Learning
Genomics
Neuroimaging
Fluorescence microscopy
Natural language processing
FOS Mathematics
Magnetic resonance imaging
Clinical data warehouse
Brain MRI
Medical imaging
Kernel methods
Object detection
Reproducibility
Longitudinal data
Riemannian geometry
Optimization
Kalman filter
Breast cancer
Inverse problems
Robustness
Software
Ensemble learning
Literature
Multiple Sclerosis
Action recognition
Conjunctive queries
LLMs
French
Neural networks
Language Model
Graph alignment
Cancer
Computational pathology
Deep generative models
Machine Learning
Optimization and Control mathOC
Loss function
Bias
Segmentation
Representation learning
Reinforcement learning
BERT
Deep learning
Machine translation
Data imputation
Clinical Data Warehouse
Huntington's disease
Classification
Mixture models
Language acquisition
Clustering
Disease progression modeling
PET
Language models
Variational autoencoder
Machine learning
Computational modeling
Dementia
Alzheimer's disease
Convex optimization
Alzheimer's Disease
HIV
Adaptation
Human-in-the-loop
Brain
Image quality assessment
Transfer learning
Validation
First-order methods
Evaluation
Direct access
Microscopy
Interpretability
Functional connectivity
Wavelets
Artificial intelligence
Data Augmentation
Hippocampus
Computer Vision
Electronic health records
Image processing
Online learning
Robotics
MT
Self-supervised learning
Dimensionality reduction
Image synthesis
Alzheimer’s disease
Data visualization
Computational Pathology
Exoplanet detection
Simulation
Curvature penalization
Prediction
MRI
Cross-validation
Computer vision
Large language models
Whole slide images
Multiple sclerosis