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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

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