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 ...

50% of companies that embrace AI over the next five to seven years have the potential to double their cash flow with manufacturing leading all industries due to its heavy reliance on data according to ...

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

Humans need to interact with machines in manufacturing applications to task those machines, monitor processes and troubleshoot problems. Historically, human-machine interfaces in the industrial ...

Manufacturing’s future is inextricably linked with robotic advancement. Organizations embracing these transformative ...

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 ...

In the first of a four-part series, Robert Dusenbury provides an overview of how his team went about designing and producing a golf putter to demonstrate the feasibility and benefits of closed-loop ...

Learn how CNC grinding processes produce high-precision indexable inserts, including periphery grinding, automation strategies, and tooling geometry.