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