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