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