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