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