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The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.

As additive manufacturing (AM) moves from prototypes to mass production, manufacturers are setting their sights on the holy grails—the products and processes that will be game-changers. Many game-changers are already in play.

As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.

The U.S. auto industry has been automated for decades. Production of cars and trucks is associated with large, hulking robots fenced off from human employees. Inside those fenced off areas, tasks such as welding are performed. The industry, though, is advancing on the automation front.

The U.S. Department of Defense (DoD) is set to award $10 million in funding this year to the Digital Manufacturing and Design Innovation Institute (DMDII) here, UI Labs CEO Caralynn Nowinski Collens, said this morning. UI Labs is DMDII’s parent organization.

Swiss-style machine tools can be a good choice for making complex parts. On the downside, however, Swiss machining itself has a reputation of being complex—and, therefore, more difficult to master than standard machining.

Horizontal machining centers (HMCs) are versatile four-axis and, increasingly, five-axis machine platforms that maximize processing of multi-sided large parts by minimizing part handling.

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Midway between Houston and Austin sits Brenham, Texas, home to Blue Bell ice cream and the world’s largest BBQ pit. Within this smallish town you’ll find a not-so-small contract manufacturer, MIC Group LLC.

As I walked through the DMG Mori factory in Davis, Calif., during the company’s Manufacturing Days event in October, there was something noticeably different about it compared to other factories I’ve visited: it was brightly lit and quiet.