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3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence
3IA Côte d'Azur est l'un des quatre "Instituts interdisciplinaires d'intelligence artificielle" créés en France en 2019. Son ambition est de créer un écosystème innovant et influent au niveau local, national et international. L'institut 3IA Côte d'Azur est piloté par Université Côte d'Azur en partenariat avec les grands partenaires de l'enseignement supérieur et de la recherche de la région niçoise et de Sophia Antipolis : CNRS, Inria, INSERM, EURECOM, SKEMA Business School. L'institut 3IA Côte d'Azur est également soutenu par l'ECA, le CHU de Nice, le CSTB, le CNES, l'Institut Data ScienceTech et l'INRAE. Le projet a également obtenu le soutien de plus de 62 entreprises et start-ups.
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Documents en texte intégral
654
Notices
300
Statistiques par discipline
Mots clés
Electronic medical record
Machine learning
Distributed optimization
RDF
Predictive model
FPGA
Computer vision
Spiking neural networks
53B20
Isomanifolds
Event cameras
Uncertainty
Argument Mining
Diffusion MRI
Domain adaptation
Fluorescence microscopy
Apprentissage profond
Image fusion
Semantic Web
Data augmentation
Consensus
Artificial intelligence
Visualization
Segmentation
Dense labeling
Optimization
Deep Learning
Autonomous vehicles
Healthcare
Alzheimer's disease
Anomaly detection
Semantic web
Dimensionality reduction
Grammatical Evolution
Extracellular matrix
CNN
Atrial Fibrillation
COVID-19
Embedded Systems
Computing methodologies
Contrastive learning
Deep learning
Spiking Neural Networks
Electrocardiogram
Privacy
Image segmentation
Medical imaging
Cable-driven parallel robot
Knowledge graphs
Excursion sets
MRI
Linked data
Diffusion strategy
Electrophysiology
Atrial fibrillation
Unsupervised learning
Hyperbolic systems of conservation laws
Macroscopic traffic flow models
Persistent homology
Convergence analysis
Co-clustering
Topological Data Analysis
Information Extraction
Biomarkers
Simulations
Clinical trials
SPARQL
Coxeter triangulation
Clustering
Hyperspectral data
Multi-Agent Systems
NLP Natural Language Processing
Arguments
Convolutional Neural Networks
Ontology Learning
Extreme value theory
Multiple Sclerosis
Convolutional neural networks
Artificial Intelligence
Neural networks
Knowledge graph
Semantic segmentation
Brain-inspired computing
Latent block model
Echocardiography
Sparsity
Convolutional neural network
Physics-based learning
Autoencoder
Graph neural networks
Explainable AI
Differential privacy
Linked Data
Web of Things
OPAL-Meso
Fibronectin
Federated Learning
Computational Topology
Super-resolution
Federated learning