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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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Europe Deep Learning Random spanning forests Community detection Hyperspectral image unmixing Attention 62L20 Stochastic approximation Convex optimization Mathematical model Machine Learning Hyperspectral HS Gestion portuaire Task analysis Dynamic binary translation Discrete event simulation Emotional facial expressions Language documentation Unsupervised learning Laycan allocation Deep neural network Hyperspectral image Air pollution Fusion Delays ISM molecules Hyperspectral imaging Berth allocation Dimensionality reduction Dynamic Epistemic Logic Kernel methods Eigenvalues and eigenfunctions Big data Variational auto-encoder Hyperspectral images Artificial intelligence Anesthesia Sequence-to-sequence models Correlation Classification MRI Biometrics Endmember variability Ethics Image fusion Smoothing Indoor navigation Allocation des postes à quai Spectral clustering Internal Security Concentration of measure Cross modality Representation learning Intraoperative ultrasound Multispectral Closed loop systems Manifold learning Neural networks Infinite-dimensional systems Inverse regression Extended Kalman Filter France Alternating direction method of multipliers Audio-visual speech enhancement Random matrix theory Adaptation models Remote sensing RS Image processing Spectral unmixing Machine learning Speech enhancement Deep learning DL Artificial Intelligence Deep learning Variational inference Data fusion Dictionaries Remote sensing Autoencoder Fairness ISM clouds Joint learning Autism spectrum disorder Asymptotic normality Hyperspectral High-dimension COVID-19 Expectation-maximization Feature learning Computational language documentation Graph signal processing Formal Concept Analysis Allocation des planches Acoustic unit discovery Artificial neural networks Attention mechanism Generative models Semantic segmentation Convolutional Neural Network AI Governance