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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

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