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