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

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