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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.

CESMII – The Smart Manufacturing Institute said it added GE Digital to its ranks of partners and members.

Production scale of high-value materials such as tungsten and rhenium enables advanced application capabilities in aerospace, defense, and medical industries.

3D Systems today announced two additions to its industry-leading materials portfolio.

The rise of cloud-based, Industry 4.0-level computing and networking technology is making multiple documentation and traceability requirements easier to navigate.

Hexagon experts embark on a summer mission to make manufacturing smarter for users across the U.S.

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.

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.