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