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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.

For most of its history in manufacturing, metrology’s competitive arena was at the point of measurement.

When a legacy automotive or aircraft part breaks and needs a replacement, manufacturers currently have no good options.

Many of the strongest shops are challenging the convention that manufacturing is a conservative sector when it comes to new technology.

The concept of smart manufacturing has been evolving for a decade among leading manufacturers, expert practitioners and consortia organizations like CESMII–the U.S.

Group14 Technologies, a global provider of silicon-carbon composite materials for lithium-ion markets, announced the launch of its first commercial-scale 27,000-square foot U.S. manufacturing factory.

In a high-mix/low-volume environment, it’s not good enough to simply be part of the pack. Today you need to be out front and pulling away, powered by the best smart tech available.

An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.

The newly developed metal powder materials DPLA (Dual Phase Low Alloy) and FSLA (Free Sintering Low Alloy are aimed at automotive and industrial applications