Displaying 81-90 of 825 results for

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.

Cyber criminals are increasingly setting their sights on today’s digitized manufacturing industry as an entry point into government and commercial supply chains.

There is no shortage of competition in a global market. As a manufacturer trying to get ahead of the pack, automation can help with problems like a limited skilled labor force, quality control issues and suboptimal throughput. But the high initial cost and extended implementation time can be deterrents.

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

Manufacturers are facing shrinking product lifecycles with frequently changing customer demands. As a result, they need agile production and flexible factory layouts that can easily be modified whenever needed.

Most companies do not have a clear strategy for how they are applying IoT, Mark Weatherford, former Deputy Under Secretary for Cybersecurity at the Department of Homeland Security, said at an exclusive roundtable Smart Manufacturing convened recently in Chicago.

Keep good employees by listening to, and acting on, their concerns

Thinking of buying a 3D printer but concerned about ROI? As Donnie Brasco said, “Forget about it.”

Texas Instruments celebrates the groundbreaking of LFAB2, a cutting-edge semiconductor fab in Lehi, Utah, while also investing in STEM education to empower students for the future.