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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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Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier. Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control. ICRA 2023 - IEEE International Conference on Robotics and Automation, May 2023, London, United Kingdom. ⟨hal-03780392v3⟩
Keywords
Brain
Clinical Data Warehouse
Clustering
Multiple sclerosis
Prediction
Deep learning
Alzheimer's disease
Interpretability
Object detection
Adaptation
Optimization
Alzheimer’s disease
ADNI
Neuroimaging
SmFISH
Multiple Sclerosis
RNA localization
Diabetes
Reinforcement learning
Association
Apprentissage faiblement supervisé
HIV
Stochastic optimization
Software
Data treatment
French
Digital Humanities
Medical imaging
Artificial intelligence
Direct access
Alzheimer
Active learning
Brain MRI
Deep Learning
Kalman filter
Alzheimer's Disease
Computer Vision
MRI
Convexity shape prior
Data augmentation
Kernel methods
Computer vision
Bias
Robotics
Literature
Cross-cohort replication
Microscopy
Vision par ordinateur
Transcriptomics
Machine learning
Huntington's disease
Clinical trial
Object discovery
Ensemble learning
Data leakage
Data Augmentation
Reproducibility
Data imputation
Bayesian logistic regression
Data visualization
Curvature penalization
Segmentation
BCI
Representation learning
Cross-validation
Longitudinal study
Clinical data warehouse
Unsupervised learning
BERT
Action recognition
Classification
Breast cancer
Neural networks
Dementia
Contrastive predictive coding
Mixture models
Apprentissage par renforcement
Convex optimization
Human-in-the-loop
Anatomical MRI
Cancer
Genomics
Complex systems
Functional connectivity
Poetry generation
Convolutional neural networks
Choroid plexus
Image processing
Graph alignment
ASPM
Self-supervised learning
Machine Learning
Longitudinal data
Computational modeling
Virtual reality
Hippocampus
Image synthesis
Dimensionality reduction
Magnetic resonance imaging
Riemannian geometry
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