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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.

In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.

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.

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.

Additive manufacturing lets companies think “outside the box.” Engineers can now start to look at a part without restrictions on size, shape or material. Instead of taking 15 different CNC milled parts and brazing them together, these companies have reimagined the part entirely—to be built as one part.

More durable and versatile therapeutic wearable material, more accurate part measurement and improved automation and 3D printing were among the many technologies on display at this year’s Medical Design & Manufacturing (MD&M) East conference, June 12-14, in New York City.

Alex Berry and his team at Sutrue Ltd. (Colchester, England) exploited the benefits of 3D printing prototypes when developing two new automated suturing devices. They also coined a phrase to describe their prototyping technique.

Some in the medical industry are using silicone rubber molds made with a 3D-printed master pattern for low-to-mid production runs of cast polyurethane device housings.

Intelligent factories have existed since manufacturing’s historical inception, but intelligence—defined as the acquisition and application of manufacturing knowledge—resided only with the factory’s staff.

I’ve had quite a month, again, covering clever software and gadgets that continue to inch their way into performing tasks once reserved for humans. These tasks range from mundane material handling to highly skilled engineering design. It has made me think quite a bit about how our world of manufacturing and engineering will be affected by all this artificial cleverness.