Author

Ruoxin Wang

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Open access Jul 2026

Rethinking machine learning for engineering

A data maturity-deployment scale framework is introduced, arguing that engineering AI should be understood not as a search for a single best model, but as an evolving intelligence strategy that co-adapts with system maturity, operational context, and deployment scale.

Jay Lee, Hanqi Su, Ruoxin Wang et al. · 0 citations