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

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