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

Neural networks Image fusion Convolutional neural networks Spatial frequencies Dimensionality reduction EHealth Backstepping Brain Co-design Remote sensing RS Feature extraction Image segmentation Speech motor control Super-resolution Telemonitoring Convolution Adherence Pansharpening Training Digital public health Philosophie des techniques Classification Data analysis Hyperspectral image Self-supervised learning Stochastic differential equations Chronic obstructive pulmonary disease Privacy Output feedback Agricultural exposome Administrative health database Online learning Big data Nash equilibrium Generative models Representation learning Prediction Correlation EEG Speech synthesis Algorithmes Semantic segmentation Machine learning Audio-visual speech enhancement Optimal control Scheduling Remote sensing Data mining Kernel methods Image processing Asymptotic stability Hyperspectral imaging Artificial Intelligence Automatic speech recognition Continuous positive airway pressure Hyperspectral Speech production Deep Learning Simulation Digital health e-health Autism Detectors Machine Learning Manifold learning Predictive coding Computer vision Ethics Dictionaries Alternating direction method of multipliers ADMM Multispectral Random matrix theory Ethique de l'intelligence artificielle Sleep apnea Object detection Data models Deep learning DL COVID-19 Stochastic approximation Sex differences Fairness Infinite-dimensional systems Optimization Spectral clustering Optimal controller Task analysis Éthique Deep learning Stabilization Data fusion OSA Convex optimization Intelligence artificielle Unsupervised learning Evaluation Endmember variability Santé numérique Spatial resolution Artificial intelligence Innovation Image reconstruction