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