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