index - Multidisciplinary Institute in Artificial intelligence - Grenoble Alpes

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

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