Hybrid manufacturing — blending additive 3D printing with CNC machining — is enabling lighter, stronger, and more precise robotic components. This approach combines the geometric freedom of additive ...

Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Researchers from Purdue University and the University of South China have developed a new 3D-printable steel alloy that is rust-proof, 30% stronger, and twice as ductile as typical printed metals.

A new study shows that combining machine learning with advanced material engineering can significantly improve the ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Protolabs experts discuss how software-driven workflows, additive manufacturing and built-in compliance are supporting ...

Scientists turned to AI to help develop a new alloy that’s perfect for a simple 3D-printing process.

Researchers used AI to design a rust-proof steel alloy built for 3D printing, achieving 1,713 MPa strength and 15% ductility, ...

PASS aplastic anaemia diagnostic tool accurately distinguishes acquired from inherited syndromes using clinical data with ...