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