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