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