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