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