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