For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

GUANGZHOU, GUANGDONG, CHINA, May 19, 2026 /EINPresswire.com/ — The journey of an industrial component from a conceptual sketch to a functional reality is a complex orchestration of design precision ...

In recent years, significant advancements in ML have influenced several fields beyond computer science, including autonomous driving, structural color design, medicine, and face recognition. The ...

There’s too much talk and not enough action around Industry 4.0, it’s all vision and almost no delivery. That’s the view of manufacturing visionary and Forbes 30under30 recipient Theo Saville, ...

Ska Fabricating reports that food manufacturers are automating processes to boost efficiency, ensure safety, and meet rising demand while minimizing risks.

Manufacturing is a fast-paced industry where success is dependent on timing and quality. That’s why it is crucial to constantly monitor every stage of the production process. Defining and tracking key ...

Companies worldwide are investing in artificial intelligence (AI) and machine learning to drive business growth. While adoption has expanded across many industries, manufacturing has emerged as a ...

Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations is achievable with machine learning. Reducing supply chain forecasting errors by 50% and ...

Early adopters of lights-out concepts are now learning to scale autonomous production. Siemens’ Xcelerator platform is one solution helping manufacturers make headway. As manufacturing companies ...

The manufacturing process is a complex one that can be impacted by many factors: supplies, equipment, factory overhead, the need for special parts, and the people who work at all points in the process ...