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