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