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

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