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