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

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