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

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