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Whether transmitted through wires or the air, data collected from older factory devices can help a shop owner make smarter business decisions.

Tooling U-SME proves the most helpful training to Iowa’s Rosenboom because employees learn things online that are immediately applicable.

Physics-informed AI simulations are beginning to replace artificial neural network models, yielding more accurate and more trustworthy predictions than ANN simulations.

By embedding fiber optic sensors, Luna Innovations and Fabrisonic are pushing to develop new and improved methods of structural health monitoring and data acquisition in extreme environments.

Mastercam has announced the 2021 Wildest Parts Competition winners. The Wildest Parts Competition is held each year to encourage student interest and participation in manufacturing.

The three keynote speakers of HOUSTEX, EASTEC, SOUTHTEC and WESTEC—the Manufacturing Technology Series—offer perspectives pertinent to manufacturers in general, but of particular use to small and medium-sized manufacturers.

Around the U.S., the major manufacturing regions are taking stock of the fallout from the pandemic and how they can navigate out of the lockdowns in 2020 to thrive once again.

Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.

Space is usually at a premium for machine shops. Now, in addition to overall floor space limitations, CNC machines and other equipment are becoming increasingly sophisticated and smaller, which can create new challenges.

How real machine data can spur improvement in manufacturing.