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