MIAI Cluster is an AI institute bringing together partners from the public and private sectors and aiming to develop AI for human beings and the environment. MIAI Cluster 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 Cluster 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 Cluster, please mention in your article:  "This work has benefited from a French government grant managed by the Agence Nationale de la Recherche under the France 2030 program, reference ANR-23-IACL-0006"

 

 

Derniers dépôts

Chargement de la page

 

Collaborations

 

 

Number of fulltexts

116

Number of references

38

Keywords

Benchmark Bibliometrics Architectural design Deep learning AI Governance Framework LLMs Adult Disordered Systems and Neural Networks cond-matdis-nn Materials Science cond-matmtrl-sci Algorithms Augmentative and Alternative Communication Bilevel Optimization Active learning Constraint satisfaction Allostasis Appren- tissage de features non linéaires Graph theory Backward walking Local Differential Privacy Automated process Automatic differentation Big data Deep Learning CAPEX Mathematics of computing → Graph algorithms Caloric deficit 3D dental CBCT Appraisal theories B-spline parameterization Nonlinear feature learning Bariatic surgery Meta-analysis Depression Mollifiers Approximation de fonctions en grande dimension Accident EU AI ACT Artificial Intelligence Administrative health database ADMM Algorithmic graph structure theory Apprentissage automatique Data reuse Dataset Algorithm unrolling Automatic Translation Automated/methods Digital health Catastrophic forgetting Bibliometric analysis Automated/methods Reproducibility of Results Exposome Artificial Intelligence BATTERY Algorithm design Farming exposome EU AI Act Autonomous System Artificial intellience Digital public health Augmented space Bioinformatics Autonomie Anonymization Alimentation Poincaré Inequality Ab initio molecular dynamics Algorithmic Fairness Algorithmic meta theorems Surrogate modeling FOS Physical sciences Adulte Agriculture Active Learning Causal Inference COVID-19 Citation Verification High dimensional function approximation Machine learning Asymptotic properties Agricultural exposome AI regulation Bandits Invertible neural networks Biology-driven machine learning Bayesian calibration CPAP Mandibular advancement Segment Anything Artificial intelligence Biology Active Subspace Predictors Causality Intelligence artificielle Ambiance solaire AI Regulation Anxiety Android application Classification EU Law Theory of computation → Fixed parameter tractability