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3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence
3IA Côte d'Azur is one of the four "Interdisciplinary Institutes for Artificial Intelligence" that were created in France in 2019. Its ambition is to create an innovative ecosystem that is influential at the local, national and international level. The 3IA Côte d'Azur institute is led by Université Côte d'Azur in partnership with major higher education and research partners in the region of Nice and Sophia Antipolis: CNRS, Inria, INSERM, EURECOM, and SKEMA Business School. The 3IA Côte d'Azur institute is also supported by ECA, Nice University Hospital Center (CHU Nice), CSTB, CNES, Data ScienceTech Institute and INRAE. The project has also secured the support of more than 62 companies and start-ups.
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Keywords
FDG PET
Electrocardiogram
Knowledge graphs
Unsupervised learning
Knowledge graph
Image segmentation
Graph signal processing
Linked Data
Federated learning
Excursion sets
Domain adaptation
Adversarial classification
Convergence analysis
Cable-driven parallel robot
Computing methodologies
Uncertainty
Dense labeling
Sparsity
Geometric graphs
Autonomous vehicles
Argument Mining
OPAL-Meso
Deep learning
Coxeter triangulation
Diffusion MRI
53B20
Macroscopic traffic flow models
SHACL
Spiking Neural Networks
Hyperspectral data
Co-clustering
Contrastive learning
Grammatical Evolution
Artificial Intelligence
Brain-inspired computing
Machine learning
Healthcare
Distributed optimization
Image fusion
Semantic web
Fluorescence microscopy
Spiking neural networks
Optimization
Medical imaging
Apprentissage profond
Graph neural networks
Clinical trials
Atrial fibrillation
Computer vision
Computational Topology
Argument mining
Web of Things
Neural networks
Ontology Learning
Predictive model
Convolutional neural network
Hyperbolic systems of conservation laws
Extracellular matrix
Consensus
Change point detection
Explainable AI
Isomanifolds
Convolutional neural networks
Biomarkers
Autoencoder
Persistent homology
Alzheimer's disease
SPARQL
Super-resolution
Federated Learning
Arguments
NLP Natural Language Processing
COVID-19
Topological Data Analysis
Chernoff information
Semantic segmentation
Semantic Web
Caching
NLP
Information Extraction
Artificial intelligence
Anomaly detection
Diffusion strategy
Atrial Fibrillation
Segmentation
FPGA
Extreme value theory
Clustering
Echocardiography
Convolutional Neural Networks
Correlation matrices
CNN
Multi-Agent Systems
Linked data
Deep Learning
Privacy
Electrophysiology
RDF
Latent block model
Visualization