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

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