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