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

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