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A 4-part plan to help prepare for an eventual cyber breach

In a recent LNS Research study on the Industrial Internet of Things (IIoT) and Digital Transformation, the top two challenges facing the adoption of IIoT technology are finding the budget to invest (32% of respondents) and building the business case (30% of respondents).

More US funds needed to address workforce skills gap

A strong manufacturing ecosystem that includes manufacturing engineering education is critical to ensuring the future vitality and innovation of manufacturing initiatives in the US. So it was welcome news to learn that the DOD is developing a new manufacturing engineering education (MEE) grant program, authorized by Congress with initial funding of $10 million for fiscal 2017.

Ensuring the Security of Additive Manufacturing

One of the key advantages of additive manufacturing is its digital thread, which allows for rapid communication, iteration, and sharing of a design model and its corresponding physical representation. While this enables an efficient design process, the flow of data opens vulnerabilities to cyber-attack.

Automotive Industry Improves Automation, Adopts Advanced Tech

The U.S. auto industry has been automated for decades. Production of cars and trucks is associated with large, hulking robots fenced off from human employees. Inside those fenced off areas, tasks such as welding are performed. The industry, though, is advancing on the automation front.

Industrial AM Systems Producers Continue Rapid Growth

The world of additive manufacturing (AM), commonly referred to as 3D printing, is quickly changing. The technology allows companies to manufacture products faster, with greater variation, and often with entirely new forms and functions.

Manufacturing: New and Improved!

The state of manufacturing is always a combination of tried and true methods; improvements (sometimes dramatic) in traditional processes; and brand new technology few people even conceived of a few years ago.

Artificial Intelligence Comes to CAD

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.