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