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