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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.

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