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