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