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My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.

In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.

My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.

The demand for titanium components by the aerospace industry began as a whisper about 15 years ago and steadily grew to a sustained, raucous shout over the last five and likely won’t quiet for several more.

Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.

In IIoT-based smart factory setups, AI-enabled digital assistants are linked into all assets and all data. It is this intelligence that takes the IIoT beyond data collection to predictions and decisions.

Two attorneys explain why a strong sales contract is a necessity in the metals industry.

In 2020, the ability for manufacturers to rapidly pivot to changing market demands and challenges became critical for success—and in many cases, survival.

When visiting some machine shops I hear PM, most commonly known as preventive maintenance, referred to as “postmortem,” as in, “We just run the machines until they die.”

Demand for automation and robots is surging in multiple industries, including automotive, writes the CEO of Thomas.com.