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