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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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Dimensionality reduction Artificial Intelligence AI Knowledge diversity Artificial intelligence Endmember variability Artificial Intelligence Kernel methods Training Adherence Multispectral Europe Semi-supervised learning Infinite-dimensional systems AI Governance Automatic speech recognition Convolution Audio-visual speech enhancement Tensors Chronic obstructive pulmonary disease Intelligence artificielle Innovation Image reconstruction Laycan allocation Learning systems Detectors Nonsmooth optimization Speech synthesis Dysgraphia Classification Computer vision Prediction Computational language documentation Ontology alignment Multimodal Community detection Stabilization Neural networks Spatial resolution Spectral clustering France Machine Learning Image segmentation Image processing Convolutional neural networks Hyperspectral imaging Machine learning Backstepping Deep learning DL Adaptation models Fusion Representation learning Brain Convex optimization Ethics Task analysis Output feedback COVID-19 Fairness Speech production Optimal control Generative models Manifold learning Graph signal processing Dictionaries Correlation Éthique Land use classification Feature extraction Image fusion Data fusion Discrete event simulation Emotional facial expressions Deep learning Label-efficient learning Dynamic Epistemic Logic Variational inference Estimation Hyperspectral Online learning Optimization Data mining Computer architecture Stochastic approximation Remote sensing Remote sensing RS Dynamic binary translation Flexibility Algorithmes Data models Joint learning Privacy Unsupervised learning Data processing Biometrics Deep Learning Object detection Pansharpening Scattering Random matrix theory Big data