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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

AI Governance Kernel methods Image reconstruction Speech motor control Sleep apnea Prosody Data models Multispectral Ethics Task analysis Asymptotic normality Stochastic differential equations Community detection COVID-19 Manifold learning Data mining Brain Asymptotic stability Digital public health Detectors Continuous positive airway pressure Dimensionality reduction Machine Learning Backstepping Dictionaries Speech synthesis Europe Dynamic Epistemic Logic Co-design Affect stories Object detection Sparsity Feature extraction Output feedback Automatic speech recognition Agricultural exposome Stochastic approximation Spectral clustering Artificial Intelligence Optimization Data fusion Privacy Fairness Machine learning Intelligence artificielle Algorithmes Deep learning DL Unsupervised learning Online learning Éthique Scheduling Adaptation models Variational inference Biometrics Infinite-dimensional systems Agriculture Digital health e-health Correlation Computer vision Computer architecture Spatial resolution Audio-visual speech enhancement Hyperspectral imaging Discrete event simulation Computational language documentation Alternating direction method of multipliers Convolution Deep Learning Air pollution Remote sensing Remote sensing RS Adherence Convolutional neural networks Cultural knowledge evolution Training Chronic obstructive pulmonary disease Speech production Deep learning Classification Data processing Artificial intelligence Convex optimization Artificial Intelligence AI Consistency Generative models Neural networks Data visualization Continual learning Big data Tensors Hyperspectral Random matrix theory CPAP Pansharpening Digital environmental health Prediction Stabilization Optimal control Representation learning Nash equilibrium