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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

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