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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

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