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

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