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3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence

3IA Côte d'Azur est l'un des quatre "Instituts interdisciplinaires d'intelligence artificielle" créés en France en 2019. Son ambition est de créer un écosystème innovant et influent au niveau local, national et international. L'institut 3IA Côte d'Azur est piloté par Université Côte d'Azur en partenariat avec les grands partenaires de l'enseignement supérieur et de la recherche de la région niçoise et de Sophia Antipolis : CNRS, Inria, INSERM, EURECOM, SKEMA Business School. L'institut 3IA Côte d'Azur est également soutenu par l'ECA, le CHU de Nice, le CSTB, le CNES, l'Institut Data ScienceTech et l'INRAE. Le projet a également obtenu le soutien de plus de 62 entreprises et start-ups.

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