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