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

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