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.
Welding is an integral part of the heavy equipment manufacturing industry, and one of the challenges technicians face during welding is porosity—the presence of cavities in the weld metal.
While companies have been shifting their spending to ecommerce for years, it has accelerated with the pandemic and more remote work.
Lungs, hearts, tumor-filled skulls, brains, livers, kidneys, and rib cages, are packed into shelves at the 3D Anatomic Modeling Laboratory at Mayo Clinic.
In late 2018, 3D Systems introduced its DMP Factory 500 concept, an end-to-end additive manufacturing solution.
3D Systems announced enhancements to its reverse engineering software products.
As additive manufacturing (AM) moves from prototypes to mass production, manufacturers are setting their sights on the holy grails—the products and processes that will be game-changers. Many game-changers are already in play.
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.
As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.
The current COVID-19 experiences have energized many conversations about our futures in the post-COVID world, and that includes the future of manufacturing.
