Artificial intelligence (AI) can be found all around us, even in places you weren’t expecting. AMT Board Chairman looks at four places AI is in plain sight and encourages us to think about how AI could work in any shop or manufacturing facility.

Artificial intelligence (AI), machine vision, and sensors are bringing gains in flexibility and efficiency to the movement of parts in facilities and how exoskeletons are increasing worker endurance in repetitive physical tasks.

Supercharge your predictive analytics applications with high-frequency machine data straight from the PLC to diagnose, predict, and avoid failures on your manufacturing equipment. No sensors required.

The concept of a digital twin has been around for ages and is most commonly defined as a representation of an object digitally. If you have created a CAD model of a screw, tool, or digital map of the manufacturing process, you have created a digital twin..

In his presentation “AI-powered Process and Quality Monitoring for Automotive Welding,” Matteo Dariol will discuss the value of data process monitoring and visualization in predicting weld quality and the important role of the cloud and edge computing in..

As metal additive becomes more and more commonplace — and given the complex geometries capable with 3DP — it was only a matter of time before somebody started printing jewelry. Think about it: what’s the purpose of jewelry? It’s to look as “extra” as...

Manufacturers of all sizes are slowly deploying analytics and cognitive automation (CA) solutions to parts of their manufacturing processes