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