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EV manufacturers must overcome a unique set of challenges to meet future customer expectations. Among them is the challenge to create innovative designs that meet safety requirements, performance criteria and keep costs down in the face of growing competition and a widening skills gap.

Karma Automotive, a luxury electric automaker, provides a case study of how cloud computing can reshape EVs.

Production scale of high-value materials such as tungsten and rhenium enables advanced application capabilities in aerospace, defense, and medical industries.

As cobots work their way into machine shops, users are finding many new jobs for them.

The rise of cloud-based, Industry 4.0-level computing and networking technology is making multiple documentation and traceability requirements easier to navigate.

A shared testbed for innovation at NIIMBL represents, but doesn’t mimic, what’s happening in an individual firm’s lab.

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.

Five experts outline ways companies can help existing racially diverse employees interested in management posts, actions those workers can take, ways recruiters can do better, and ways to prepare for the future.

The longstanding trend toward manufacturing automation has understandably been accelerated by the COVID-19 pandemic.