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How to Keep Humans in the Loop

A glance back and a focus forward to achieve smart manufacturing

The complex world of artificial intelligence and machine learning—and why it all matters

Four AI trend forecasts from Anders Billesø Beck of Universal Robots A/S.

Materials.AI is trained on Fictiv's manufacturing data to help mechanical engineers navigate material options.

From a simple locating pin to a complex fluid manifold, every manufactured part starts out as an idea. A Colorado shop brings its customers’ concepts to reality by blending advanced manufacturing technology and careful process and data management with a team-focused company culture and nearly 40 years of experience.

What’s sexy? Try 3D printing, cobots, Yammer, VR, AR, blockchain technology

The latest mobile robots are designed to accomplish tasks in manufacturing plants without requiring major factory modifications. This emerging robot generation also meets workers where they are, functioning more like independent team members as opposed to complicated, difficult-to-use hardware.

Advances in CAD/CAM algorithms have improved tool paths, resulting in more speed and efficiency and less stress on both the tool and the objects being cut. Because these new algorithms help tools cut more efficiently and faster, operators save time and the tools last longer.

With the September issue, Smart Manufacturing introduces Collective Intelligence, a new initiative under which we gather experts in one room to go deep on one important topic. We focused this first roundtable on the intractable problem of the workforce skills gap.