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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
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


