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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

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