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