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The CEO of an artificial intelligence company discusses how AI affects workers and how AI can be deployed well.

Had IMTS 2020 taken place as scheduled, it would have been clear that making parts as quickly and cost-effectively as possible remains as the primary goal in manufacturing.

Today, it’s tremendously difficult to get products made. To turn an idea into a tangible object requires a list of difficult-to-obtain resources, including expensive machinery and capital, and a lot of time to program and configure machines.

What a difference a month makes. In a survey by the Manufacturing Advocacy and Growth Network (MAGNET) in February, only 24 percent of Ohio manufacturers said innovation was a priority.

If Industry 3.0 is identified by the computerization of factory floor processes to make them “smart,” then Industry 4.0 can be understood as the expansion of the idea to include all of the non-factory floor inputs required to produce a quality product and a successful enterprise.

Part 1 of this three-part series on the Connected Machine Shop ran in the July issue of Manufacturing Engineering.

Inside an electronics factory in China as late as early 2019, workers and smart machines were building circuit boards with chips in a multi-step process using a variety of machines from different vendors.

Manufacturers are increasingly analyzing their supply chains to mitigate cybersecurity and environmental risks with the goal of building more secure, resilient, agile organizations, keynote panelists at the Best of SMX virtual event said in October.

The Digital Foundry at New Kensington, a new 15,044 square-feet innovation and manufacturing lab space that will use cutting-edge technologies to develop future-ready skills and improve business outcomes, has been unveiled.

The company expands Xcelerator portfolio to use knowledge-based approach for defining MBD