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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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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