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)."

 

 

Derniers dépôts

 

Collaborations

 

 

Number of fulltexts

974

Number of references

628

Keywords

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