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