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

3IA Côte d'Azur is one of the four "Interdisciplinary Institutes for Artificial Intelligence" that were created in France in 2019. Its ambition is to create an innovative ecosystem that is influential at the local, national and international level. The 3IA Côte d'Azur institute is led by Université Côte d'Azur in partnership with major higher education and research partners in the region of Nice and Sophia Antipolis: CNRS, Inria, INSERM, EURECOM, and SKEMA Business School. The 3IA Côte d'Azur institute is also supported by ECA, Nice University Hospital Center (CHU Nice), CSTB, CNES, Data ScienceTech Institute and INRAE. The project has also secured the support of more than 62 companies and start-ups.

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