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