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