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