Function+Data Flow (FDF), a visual domain-specific language for specifying and validating AI/ML pipelines used in building real-time digital twins, is presented. Implemented in DesCartes Builder, it enables composition and reuse of models. An empirical study found FDF makes AI-based twin development more accessible and reliable.
This is important for the agenda as it offers a systematic approach to engineering AI pipelines for digital twins, improving their reliability and scalability.
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