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Machines can learn to spot anomalies in-process and end-of-line.

BioFabUSA is advancing workforce development programs that inspire people to tackle the challenges of manufacturing replacement human cells, tissues and organs.

This week’s Automate trade show in Detroit demonstrated the drive for flexibility on the factory floor.

At its automotive plant in Jalisco, Mexico, Interplexico turned to robotics to improve production efficiency for one of its parts production lines.

To achieve automated customization, cheaper, better robots and improved additive manufacturing are essential.

Leveraging ML to analyze historical data is a new approach to demand forecasting.

To be competitive in today’s dynamic manufacturing environment, small- and medium-sized manufacturers (SMMs) need to implement mechanisms to facilitate the effective processing of multiple streams of highly volatile and time-sensitive customer requirements.

How real machine data can spur improvement in manufacturing.

Directed energy deposition methods depend on CAM and computers

Predictive maintenance is a way to predict every possible scenario of hardware failure, identifying when maintenance is required and alerting maintenance staff, when necessary, as well as providing preventative solutions.