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Around the U.S., the major manufacturing regions are taking stock of the fallout from the pandemic and how they can navigate out of the lockdowns in 2020 to thrive once again.

Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.

AI already helps individual factories improve production, safety, efficiency and other metrics while lowering costs. Marrying AI and cloud technology can supercharge those benefits.

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.

Assisting Small and Medium-Sized Manufacturers with Industry 4.0/Smart Manufacturing Technology Adoption

Librestream, a provider of augmented reality (AR) and remote collaboration solutions, said it secured investments from Honeywell and Evergy Ventures.

Mark 2020 as the year the U.S. government chose to stand up a Manufacturing Innovation Institute focused solely on cybersecurity.

Profound changes in the manufacturing landscape are now being driven by current health concerns and their influence on how plant and factory workers do their jobs.

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.