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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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Adaptation models Generative models Deep Learning Acoustic unit discovery Asymptotic normality Algorithms Alternating direction method of multipliers Variational inference Correlation Mathematical model Hyperspectral imaging Task analysis Smoothing Community detection Speech enhancement Formal Concept Analysis Laycan allocation Artificial intelligence Random spanning forests End-to-end system Convolutional Neural Network Stochastic approximation Spectral clustering Endmember variability Berth allocation COVID-19 Joint learning Sleep apnea AI Governance Unsupervised learning Air pollution Extended Kalman Filter Big data Sequence-to-sequence models Closed loop systems Inverse regression Deep neural network Eigenvalues and eigenfunctions Neural networks Machine Learning Ethics Machine learning Classification Attention mechanism 62L20 Allocation des planches Representation learning Feature learning Computational Language Documentation Graph signal processing Multispectral Computer ethics Autism spectrum disorder Dictionary learning Europe Semantic segmentation Adherence Emotional facial expressions Expectation-maximization Dynamic binary translation Anesthesia Dynamic Epistemic Logic Attention Concentration of measure Computational language documentation Fusion Allocation des postes à quai Agent communication Ontology alignment Discrete event simulation Data fusion Language documentation Dimensionality reduction Dictionaries Biometrics Dysgraphia Random matrix theory CPAP Autoencoder Manifold learning Cross modality Remote sensing Delays Remote sensing RS Deep learning Optimal control Artificial neural networks Deep learning DL Spectral unmixing Alignment repair Fairness Convex optimization Hyperspectral Multi-agent systems MRI Automatic speech recognition Intelligence artificielle Audio-visual speech enhancement Variational auto-encoder Artificial Intelligence