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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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Artificial Intelligence AI Europe Image fusion Speech synthesis Endmember variability Data mining Algorithmes Emotional facial expressions Dynamic binary translation 62L20 Machine Learning Algorithms Joint learning Adherence Detectors Fairness Tensors Computational language documentation Innovation Chronic obstructive pulmonary disease Land use classification AI Governance Correlation Convolutional neural networks Audio-visual speech enhancement Remote sensing RS Automatic speech recognition Brain Biometrics Dysgraphia Data fusion Task analysis Convolution Multispectral Dictionaries Deep learning Kernel methods Classification Affective computing Spectral clustering Semi-supervised learning Dimensionality reduction Fusion Neural networks Nonsmooth optimization Feature extraction Air pollution Variational inference Acoustic unit discovery Optimization Deep Learning Object detection Unsupervised learning Community detection Training Graph signal processing Online learning Data models Convex optimization Machine learning Deep learning DL Artificial intelligence Hyperspectral imaging Image segmentation Ontology alignment Representation learning Spatial resolution Remote sensing Image reconstruction Agent communication Hyperspectral Computer vision Privacy Ethics Manifold learning Optimal control Laycan allocation Computer architecture Random matrix theory Big data Artificial Intelligence Image processing Generative models Dynamic Epistemic Logic Inverse regression Estimation Discrete event simulation Learning systems Stochastic approximation Intelligence artificielle Knowledge diversity Algorithm Hyperspectral image Sequence-to-sequence models Speech production Infinite-dimensional systems Label-efficient learning Pansharpening COVID-19 Adaptation models