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)."

 

 

 

Collaborations

 

 

Number of fulltexts

975

Number of references

628

Keywords

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