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In the AI world, fear is driven by unfamiliarity with the process, the professional impact of failure and the daunting tasks of pulling together all of the people and perspectives required just to get started. Here are three key lessons learned from our work with Rolls-Royce and Gulfstream that will clear your AI project for takeoff.

Many process manufacturing companies are on the path to digitization and have piloted analytics to improve operational performance and improve their competitive edge.

Lungs, hearts, tumor-filled skulls, brains, livers, kidneys, and rib cages, are packed into shelves at the 3D Anatomic Modeling Laboratory at Mayo Clinic.

3D Systems announced enhancements to its reverse engineering software products.

On June 22-23, SME hosted a Smart Manufacturing Working Group meeting at Texas A&M University (College Station, TX) followed by an international workshop on Smart Manufacturing for the Factory of the Future.

Flexibility has come to automation, perhaps as never before. And for industries that require precision machining, assembly, and measurement, automation technologies have never been more available.

Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.

Remember the boy with endless learning capacities in the 2001 film “AI Artificial Intelligence”? He’s quickly coming to life. Today, AI is no longer fictional; it’s reality.

When the Italian company JDeal-Form (Oleggio, Italy) started using additive manufacturing to apply a micronized polymer coating to the underwire tips and bra straps it sold to brassiere makers, CTO Davide Ardizzoia grew frustrated with his AM vendor’s constant lateness.

The Digital Manufacturing and Design Innovation Institute (DMDII) today kicked off a new cybersecurity initiative focused on manufacturing.