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There are plenty of manufacturing catchphrases: the Industrial Internet of Things (IIoT), Industry 4.0 and the Digital Factory. “Sometimes it’s a lot of buzzwords. Sometimes there’s a lot of reality behind it,” said Roger Hart, research and development manager of Siemens (Berlin and Munich, Germany).

Pittsburgh, PA – June 12, 2018 — Advanced Robotics for Manufacturing (ARM) is proud to announce the awardees of its first round of project funding to strengthen U.S. manufacturing. Separate from ARM’s first official project call, these projects were selected upon ARM’s inception to begin generating timely impact on the national manufacturing landscape and serve as examples of ARM’s mission.

A new report urges the United States invest in emerging manufacturing technologies, saying the private sector can’t preserve US manufacturing by itself.

Automotive is one of the most highly-automated industries in the world, and it has been a leading force in expanding the use of industrial automation for decades. In fact, the first industrial robot in production was a Unimation UNIMATE that GM installed on a die-casting line in New Jersey in 1962.

Manufacturers continue to be bombarded with an onslaught of technology terms, as well as different ideas on where to begin and how to proceed. This confusion has slowed the adoption of new technology. Yet a big opportunity for a huge increase in efficiency awaits.

It’s a familiar scenario at the factory. Quality issues have reared their ugly heads, requiring rework, causing backorders, delaying shipments, and driving tense daily customer calls. Meanwhile, the team works to address production issues using a mix of day-old post-mortem reports, shop-floor observations captured on notepads, and other operational data summarized on spreadsheets and sticky notes.

In today’s booming software landscape, you see highly dynamic teams quickly iterating to develop and improve their products. Yet while the world’s software creators have learned to “move fast and break things,” hardware developers are still (slowly) moving to adopt a more agile product development methodology.

Anaqua, Inc., a leading provider of Intellectual Property (IP) management, today announced that Diebold Nixdorf has selected the ANAQUA platform to manage its global IP portfolio from its operations in the U.S. and Germany.

Q&A with Jon Sobel, co-founder and CEO of Sight Machine located in both San Francisco, CA and Ann Arbor, MI.

For many years, the knowledge economy and traditional industries like manufacturing appeared to be on parallel tracks. Now those tracks are converging.