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An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.

The whole of manufacturing is moving toward a leaner and more agile future enabled by additive manufacturing. But this change requires continuous and unrelenting innovation to be able to do things not done before.

An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.

HoloLens 2, Microsoft’s second-generation, mixed-reality smart glasses is a big part of why augmented reality in assembly has become ready for prime time.

Because its president saw opportunities to improve efficiency and an immediate need to make up for capacity lost due to impending worker retirements, Daiwa Steel Tube is set to save more than $1 million a year.

AT&T Business is working with MxD in Chicago to demonstrate how digital solutions can help manufacturers optimize operations, increase safety and reduce costs.

In a high-mix/low-volume environment, it’s not good enough to simply be part of the pack. Today you need to be out front and pulling away, powered by the best smart tech available.

A shared testbed for innovation at NIIMBL represents, but doesn’t mimic, what’s happening in an individual firm’s lab.

Laser welding of dissimilar materials is a dynamic process and its time has arrived.

New regulatory guidance and changes in workforce prep are needed before the good times will roll for regenerative medicine