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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.

Contact : mission.ia@inria.fr

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Keywords

Domain adaptation Medical imaging Stochastic optimization Spiking neural networks Diffusion strategy Bioacoustics Semantic segmentation Intelligibilité Spherical Harmonics Macroscopic traffic flow models Machine Learning Bayesian inference Supervised learning Segmentation Data augmentation Riemannian geometry Possibility theory Simulated annealing Speech recognition Gaussian process Apprentissage automatique Deep Learning Computational geometry Uncertainty Endmember variability Semantic Web Dense labeling Mixture models Concentration of measure Discrimination Change detection Statistics Riemannian manifold Generative models Polynomial optimization Diffusion MRI Image segmentation Bayesian learning Safety Neuroimaging Convolutional neural networks COVID-19 Unsupervised learning Image processing Computational modeling Prediction Argument Mining Brain-inspired computing MRI Image synthesis Online learning Autonomous vehicles Spectral clustering Simulated Annealing Global optimization Machine learning Computational language documentation Spectral unmixing Classification Neural networks Éthique Linked Data Simulation Convolutional Neural Networks Variational auto-encoder Reinforcement learning Excursion sets Intelligence artificielle Bioinformatics Semidefinite programming Ethics Air Traffic Management Convex optimization Reproducibility Distributed optimization Computational Topology Clinical trials Airport Co-clustering Hyperspectral imaging Artificial intelligence Computer vision Terminal Maneuvering Area Optimization Deep learning Privacy OPAL-Meso Argumentation Clustering Random matrix theory Image analysis Remote sensing Alzheimer's disease Neural Networks Big Data Graph signal processing Autoencoder Anomaly detection Big data Artificial Intelligence

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