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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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References
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Marvin Lavechin, Marianne Métais, Hadrien Titeux, Alodie Boissonnet, Jade Copet, et al.. Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation. IEEE Automatic Speech Recognition and Understanding (ASRU 2023 ), IEEE, Dec 2023, Taipei, Taiwan. pp.1--7. ⟨hal-04247647⟩
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Keywords
Representation learning
BCI
Reproducibility
Computer Vision
Riemannian geometry
RNA localization
Curvature penalization
Kernel methods
Longitudinal data
Ensemble learning
Self-supervised learning
Brain
Magnetic resonance imaging
Apprentissage par renforcement
ADNI
Adaptation
Interpretability
Machine learning
Evaluation
Variational autoencoder
Classification
Electronic health records
Medical imaging
Deep Learning
Anatomical MRI
Functional connectivity
Stochastic optimization
Deep generative models
Multiple Sclerosis
French
Alzheimer
Weakly-supervised learning
Whole slide images
Machine Learning
Online learning
BERT
Choroid plexus
Reinforcement learning
Clustering
Breast cancer
Bayesian logistic regression
Clinical Data Warehouse
Image synthesis
HIV
Variational inference
Segmentation
Artificial Intelligence
CamemBERT
Bias
Optimization
ASPM
Zero-Shot Learning
Graph alignment
Data imputation
Clinical data warehouse
Attention Mechanism
Alzheimer's disease
Alzheimer's Disease
Association
Poetry generation
Wavelets
Multiple sclerosis
Action recognition
Longitudinal study
MRI
Apprentissage faiblement supervisé
Transcriptomics
Artificial intelligence
Direct access
Unsupervised anomaly detection
Cross-validation
Kalman filter
Language acquisition
Active learning
Cancer
Huntington's disease
Dimensionality reduction
Computer vision
Image processing
Mixture models
Human-in-the-loop
Genomics
Data visualization
Hippocampus
Natural language processing
Machine translation
Dementia
Prediction
Neural networks
Sparsity
Object detection
Brain MRI
Literature
Deep learning
Simulation
Neuroimaging
Computational modeling
Language Model
Microscopy
Alzheimer’s disease
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