The company reported it recently delivered an 810 System DED machine to the US National Institute for Aviation Research (NIAR ...

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 ...

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 ...

The importance of digital tools and simulation for successful composite parts design is well established, whether for aircraft wings, automotive bumper beams or bicycle frames. Over the past decade, ...

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

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, ...

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 ...

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 ...

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 ...