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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

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