index - 3IA Côte d’Azur – Interdisciplinary Institute for Artificial Intelligence Accéder directement au contenu

3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence

3IA Côte d'Azur est l'un des quatre "Instituts interdisciplinaires d'intelligence artificielle" créés en France en 2019. Son ambition est de créer un écosystème innovant et influent au niveau local, national et international. L'institut 3IA Côte d'Azur est piloté par Université Côte d'Azur en partenariat avec les grands partenaires de l'enseignement supérieur et de la recherche de la région niçoise et de Sophia Antipolis : CNRS, Inria, INSERM, EURECOM, SKEMA Business School. L'institut 3IA Côte d'Azur est également soutenu par l'ECA, le CHU de Nice, le CSTB, le CNES, l'Institut Data ScienceTech et l'INRAE. Le projet a également obtenu le soutien de plus de 62 entreprises et start-ups.

Documents en texte intégral

646

Notices

300

Statistiques par discipline

Mots clés

Domain adaptation Electronic medical record Artificial Intelligence Computing methodologies Fluorescence microscopy Computer vision Biomarkers Linked Data CNN Hyperspectral data Alzheimer's disease COVID-19 Simulations Semantic web Image segmentation Semantic segmentation Clinical trials Embedded Systems Convergence analysis Autonomous vehicles Optimization Distributed optimization Unsupervised learning Convolutional neural networks Consensus Contrastive learning Echocardiography Brain-inspired computing Uncertainty Convolutional Neural Networks Semantic Web Diffusion MRI Segmentation Apprentissage profond Visualization MRI Atrial Fibrillation Multi-Agent Systems Multiple Sclerosis Topological Data Analysis Medical imaging Healthcare Knowledge graphs Computational Topology Convolutional neural network Super-resolution Cable-driven parallel robot Spiking neural networks Image fusion Electrocardiogram Binary image NLP Natural Language Processing Dimensionality reduction Grammatical Evolution Federated Learning Latent block model Differential privacy Predictive model Extracellular matrix Data augmentation Linked data Graph neural networks Ontology Learning Crossings Autoencoder RDF Isomanifolds Excursion sets SPARQL Dense labeling Persistent homology Clustering Artificial intelligence Neural networks Electrophysiology Sparsity Coxeter triangulation Atrial fibrillation Hyperbolic systems of conservation laws Privacy Anomaly detection Macroscopic traffic flow models Explainable AI Web of Things Information Extraction Machine learning Deep learning Diffusion strategy Event cameras Argument Mining Knowledge graph FPGA Arguments OPAL-Meso Extreme value theory 53B20 Physics-based learning Spiking Neural Networks Co-clustering Deep Learning