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