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

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