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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

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