Researchers have proposed a digital twin framework to make automotive additive manufacturing more agile and predictable.

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

Hybrids are broadly used in plant breeding and accurate estimation of variance components is crucial for optimizing genetic gain. Genome-wide information may be used to explore models designed to ...

Ahead of RAPID + TCT 2026, Maggie Lashutka explains how Ricoh uses 3D printing to create patient-specific brain models for ...

Tyler Bouchard and Tyler Modelski explore the fundamental changes needed to scale industrial artificial intelligence in additive manufacturing.