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Welcome to the HAL Open Archive collection of the National Research Programme for AI (NRPIA). This collection aims to gather the publications from the projects financed by the NRPIA and available at HAL.

In the closing day of « AI for Humanity » debate held in Paris on March 29, 2018, the President of the French Republic presented an ambitious strategy for Artificial Intelligence (AI) and launched the National AI strategy.

The National AI strategy will mobilise a budget of €1.5 billion over the period 2018-2022, 45% of which will be devoted to research. As part of the AI for Humanity Plan, Inria was commissioned to coordinate the research component of the national AI program.

The objective of the National AI Research Programme is twofold: to sustainably establish France as one of the top 5 countries in AI and to make France the European leader in research in AI. To this aim, several actions will be carried out in a first phase extending from the end of 2018 to 2022 (4 Interdisciplinary Institutes, chairs, doctoral contracts, training, computing resources, ANR calls, public-private partnerships and international cooperation).

For further information on the National AI Research Programme, visit the site web.

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Uncertainty Phonétique Clinique Image matching PL-approximations Abyss Monitoring Gaussian Process EM algorithm Bioacoustics Argument Mining Data treatment Medical imaging Apprentissage automatique Intrinsic dimension Dementia Generative models Dense labeling French Speech recognition MRI Computer Vision Graphical models High-dimensional data Image analysis Dimension reduction Domain adaptation Online learning Bayesian learning ASV Riemannian manifold Multiple Sclerosis Longitudinal data Dossier médical électronique Data visualization Disjointness Axiom Human-in-the-loop Intelligence Artificielle IA Liver Intelligibilité Coxeter triangulation Optimization Segmentation Predictive model Isomanifolds Artificial Intelligence Cetacean Survey High Content Screening Image processing Catastrophic forgetting Artificial intelligence Grammatical Evolution Parole Generative adversarial networks Alzheimer's disease Ethoacoustics Disease progression modeling Dimensionality reduction Knowledge graph Genetic Programming Convolutional neural networks GANs Topological Data Analysis Image quality Cramér-von-Mises distance Biosonar Semantic segmentation Linked Data BERT Image segmentation Linked data Long Term Survey Data augmentation 3D Tracking Kuhn triangulation Semantic Web Stochastic optimization Electronic medical record Adaptive algorithms Classification Deep learning Prediction Ontology Learning Contrastive predictive coding Clustering Machine Learning Computer vision Hypermedia Discrete event simulation Filtering Global optimization Convolutional Neural Networks PET Imaging Evaluation metrics Expression recognition Benchmark Deep Learning IRM Computational Topology Machine learning Intelligence artificielle Web of Things

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