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