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

3IA Côte d'Azur is one of the four "Interdisciplinary Institutes for Artificial Intelligence" that were created in France in 2019. Its ambition is to create an innovative ecosystem that is influential at the local, national and international level. The 3IA Côte d'Azur institute is led by Université Côte d'Azur in partnership with major higher education and research partners in the region of Nice and Sophia Antipolis: CNRS, Inria, INSERM, EURECOM, and SKEMA Business School. The 3IA Côte d'Azur institute is also supported by ECA, Nice University Hospital Center (CHU Nice), CSTB, CNES, Data ScienceTech Institute and INRAE. The project has also secured the support of more than 62 companies and start-ups.

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