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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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Keywords

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