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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

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