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