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The implementation of smart technology is accelerating, in part because of the global pandemic, organizers of an online press conference on smart manufacturing in Taiwan said today.

Florida's advanced manufacturing industries are diverse and include sectors producing intermediate and finished products ranging from plastics and micro-electronics to tortillas and motor vehicles.

After three years of work, military researchers are near the end of a project to find a faster, cheaper way to make tools for large aerospace parts like skins for wings and fuselages.

An Israeli company has developed new artificial intelligence technology that promises to dramatically change how original equipment manufacturers and their suppliers conduct quality control inspections.

New report from Claroty researchers finds latest ICS vulnerabilities most prevalent in energy, critical manufacturing, and water & wastewater sectors of critical infrastructure

IIoT expert Steve Jones who will speak Oct. 29 at “The Best of SMX” (smxevent.com), describes in detail the Industrial Internet of Things (IIoT), as well as AI/machine learning and other promising technology for manufacturing’s future. Like with many things in life, it is important to set goals first, the Steelcase executive says. Not sure where to begin with IIoT? Never fear: Jones has the answer.

Part 1 of this three-part series on the Connected Machine Shop ran in the July issue of Manufacturing Engineering.

Before the coronavirus pandemic upended normal life and essentially shut down commercial airliners, the aviation industry had a projected need for 40,000 new aircraft—planes, helicopters, air taxis, and unmanned aerial vehicles—in the next 20 years.

If you were to rebuild your manufacturing business today, would you build it in the same way, or would you shape it differently to address new challenges and future innovations?

It is not surprising that the aerospace and defense industry exists at a higher plane of manufacturing. The components and end products being assembled must endure intense forces and pressures, are expected to perform without failure, and even the slightest mistake comes with extreme safety risks.