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MIAI Grenoble Alpes (Multidisciplinary Institute in Artificial Intelligence) aims to conduct research in artificial intelligence at the highest level, to offer attractive courses for students and professionals of all levels, to support innovation in large companies, SMEs and startups and to inform and interact with citizens on all aspects of AI.

The activities of MIAI Grenoble Alpes are structured around two main themes : future AI systems and AI for human beings the environment.

Instructions to authors: If your research work has been supported by the MIAI Grenoble Alpes, please mention in your article:  "This work has been partially supported by MIAI@Grenoble Alpes, (ANR-19-P3IA-0003)."

 

 

 

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Keywords

Asymptotic stability Agricultural exposome Privacy Europe Adherence Asymptotic normality Convex optimization Speech synthesis Random matrix theory Attention mechanism Dictionaries Stochastic approximation Sleep apnea Kernel methods Super-resolution Optimization Image reconstruction Intelligence artificielle Deep learning Machine learning Co-design Semantic segmentation Deep Learning Detectors Convolutional neural networks Neural networks Nash equilibrium Digital public health Artificial Intelligence AI Backstepping Agriculture Continuous positive airway pressure Adaptation models Computer vision Alternating direction method of multipliers ADMM Chronic obstructive pulmonary disease Audio-visual speech enhancement Anomaly detection AI Remote sensing RS Spectral clustering Prediction Unsupervised learning Task analysis Deep learning DL Fairness Convolution Online learning Output feedback Speech production Stabilization Tensors Ethics Autism Artificial Intelligence Evaluation Remote sensing Sparsity Manifold learning Image fusion Multispectral Artificial intelligence Classification AI Governance Digital health e-health Éthique Data visualization Speech motor control Training Big data Spatial resolution Data models Scheduling Spatial frequencies Affect stories Variational inference Automatic speech recognition Air pollution Predictive coding Data mining Obstructive sleep apnea Hyperspectral Optimal control Hyperspectral image Infinite-dimensional systems Machine Learning Data fusion Algorithmes Generative models Pansharpening Alternating direction method of multipliers Dimensionality reduction OSA Feature extraction Hyperspectral imaging Endmember variability Representation learning Stochastic differential equations Object detection COVID-19