index - 3IA Côte d’Azur – Interdisciplinary Institute for Artificial Intelligence

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