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 ...

To improve plant floor productivity, manufacturers have typically focused on finding ways to optimize individual assets using metrics associated with overall equipment effectiveness (OEE). Over the ...

Integrating robotics, automation and human-machine interfaces (HMIs) in the rapidly evolving global manufacturing landscape represents a profound shift toward smarter, safer and more innovative ...

Manufacturers can benefit from AI in a variety of ways, such as improving production, quality control and efficiency. Although AI offers manufacturers several new applications, to get the most value ...

Human-machine interfaces (HMIs) facilitate interaction between a human operator and a machine, allowing users to control machinery and receive feedback while ensuring smooth and efficient operation.

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 ...