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Experience the future of precision aerospace manufacturing as Starrag partners with Zeiss to revolutionize accuracy and efficiency.

RaaS model helps manufacturers solve labor problems without huge investment.

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.

Prima Power Laserdyne recently presented a Zeiss high-resolution microscope to the welding program leaders of Anoka Technical College as the college expands its robotic and laser welding program.

Designing new aerospace engines is challenging, but Rolls-Royce Germany turned to data analytics and AI to meet these challenges. The results? Reduced costs and shortened lead times.

At a Tier 1 automotive manufacturer in Mexico, it quickly became clear that AI in the factory was a fantastic solution to help human workers achieve greater levels of success; a human plus machine scenario where AI enhances the capabilities of, rather than replaces, human workers.

Good science does not equate to workable manufacturing. This has been a longstanding truth in tissue engineering, a field that has been in limbo between academic R&D and commercialization for its entire decades-long existence.

In today’s ultra-connected and camera-covered smart factories, the amount of visual data generated and transferred taxes even the most powerful computer and network systems.

AI’s learning ability is moving to the compute edge. And manufacturers will be a major beneficiary. I realized the usefulness of being able to run AI on small computer processing power while working with NASA in 2010.