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