embedding novel sensors for monitoring in real time the critical control parameters of key processes in the minerals, ceramics, non-ferrous metals, and chemical process industries. The paper presents ...

One potential evolution that isn’t too far in the future is the incorporation of artificial intelligence (AI) and machine learning (ML) into these process control solutions. Bengtsson calls it “very ...

X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

Baltimore and elsewhere to use machine learning algorithms to analyze data from wearable, movement-tracking sensors to help automate parts of the process. Ultimately, the researchers say ...