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