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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

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