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

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