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

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