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