ModellingUS & West
Function+Data Flow DSL Makes Building AI Pipelines for Digital Twins Easier
The paper introduces Function+Data Flow (FDF), a visual domain-specific language for specifying machine learning pipelines used to build real-time digital twins. Implemented in DesCartes Builder, an integrated modeling environment, FDF aims to make AI-based digital twin development more accessible and reliable, as evaluated in a user study.
Why it matters
Visual DSLs for AI pipelines enhance reproducibility and manageability of digital twin engineering, relevant for modeling and control of complex systems.
Relevant to DT products
- Original headline
- Building real-time digital twin instances with Function+Data Flow: user evaluation and extension for iterative pipelines
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