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

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