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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

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