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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

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