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

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