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