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Fostering human-centered innovation by developing powerful, easy-to-use tools is at the heart of the new products, enhancements and services showcased during the Siemens Digital Industries Software 2020 Media & Analyst Conference, a two-day virtual event hosted by the Plano, Texas-based company on June 16 and 17.

Siemens and Qualcomm Technologies, Inc. have implemented a private 5G standalone (SA) network in a real industrial environment using the 3.7-3.8GHz band.

The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.

When the ergonomics team at General Motors decided to field test wearables to augment their plant workers’ physical abilities, they partnered with body mechanics experts who collect data in a scientific way—and talked with users.

A fully connected factory floor is the way forward for any manufacturer seeking to fully realize the Industry 4.0 vision.

The low temperature intrinsic to solid-state printing processes allows manufacturers to weld layers of dissimilar metals without fear of metallurgical incompatibility issues.

Most manufacturers have relied on third-party vendors to make parts that are then incorporated into the final product. From automakers sourcing stereos and aircraft makers contracting for jet engines to a small bakery ordering plastic bags or a woodshop buying nails, producers of all types have supplemented their internal capabilities through a painstakingly developed supply chain of external vendors.

The combination of metrology hardware, adaptive CAM software and connectivity to plant-wide systems is making additive hybrid machine tool applications ever more practical on the shop floor.

The U.S. needs to build a national infrastructure in engineering and manufacturing R&D that parallels its scientific infrastructure. While it makes all the sense in the world, it is not happening.

Some things are a given today. One is computing is cheap and powerful, and it is getting cheaper and more powerful. Another is the dropping price of industrial sensors. Combine this with easier ways of moving around data from those sensors and you get lots of data: Terabytes of data.