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Robots simply are not used as widely as they could be, due to persistent barriers.

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.

My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.

My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.

Demand for automation and robots is surging in multiple industries, including automotive, writes the CEO of Thomas.com.

Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.

Laser micro-cutting can increase precision and enable contactless cutting for machines, leading to higher-quality products.

Unlocking Efficiency: Revolutionizing Tooling Management for Manufacturing Excellence. Discover how advanced automation software and hardware solutions are transforming tool inventory control, enhancing productivity, sustainability, and cost-effectiveness on the shop floor.

Resurrecting Lost Parts: 3D Scanning's Game-Changing Solution

Even early adopters of advanced manufacturing technologies are just starting to develop strategies. Implementation will require considerable time, resources, and commitment.