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