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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.

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.

Five experts outline ways companies can help existing racially diverse employees interested in management posts, actions those workers can take, ways recruiters can do better, and ways to prepare for the future.

When Rensselaer Polytechnic Institute needed clear plastic to make face shields for the coronavirus pandemic, conventional suppliers were unable to provide it. “We are now one of the largest purchasers of document covers in the country,” Robert Hull, acting VP for research at Rensselaer, said during a  webinar that SME and CESMII – the Smart Manufacturing Institute hosted last week.

This is the first in a series of articles that will cover the accelerating improvement in manufacturing technology.