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