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