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

 

3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence

3IA Côte d'Azur est l'un des quatre "Instituts interdisciplinaires d'intelligence artificielle" créés en France en 2019. Son ambition est de créer un écosystème innovant et influent au niveau local, national et international. L'institut 3IA Côte d'Azur est piloté par Université Côte d'Azur en partenariat avec les grands partenaires de l'enseignement supérieur et de la recherche de la région niçoise et de Sophia Antipolis : CNRS, Inria, INSERM, EURECOM, SKEMA Business School. L'institut 3IA Côte d'Azur est également soutenu par l'ECA, le CHU de Nice, le CSTB, le CNES, l'Institut Data ScienceTech et l'INRAE. Le projet a également obtenu le soutien de plus de 62 entreprises et start-ups.

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