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Get AI Projects in the Air

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.

Carefully Partition Tasks Between Humans, Robots

Businesses are starting to recover from the pandemic—some more than others—and the need to deliver a seamless experience from online to the store is requiring a rethink of entire supply chains.

Deere turns to AI to solve welding porosity issues

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.

Try Feature-Based PLE

Feature-based Product Line Engineering refers to the engineering of a portfolio of related products using a shared set of engineering assets, a managed set of features, and an automated means of production.

Consider Fire Requirements When Specifying Composites

With the use of composites in demanding applications increasing, improving knowledge of their fire performance is becoming a safety-critical issue, particularly for building and transportation applications.

Discovering the Keys to U.S. Manufacturing Recovery

The COVID-19 pandemic clearly proved challenging to the manufacturing industry in myriad ways. Now, as nations and industries begin to navigate their way forward as restrictions are lifted, manufacturers have an opportunity to put into practice some lessons learned.

EssentiumX exploring the full potential of additive

The whole of manufacturing is moving toward a leaner and more agile future enabled by additive manufacturing. But this change requires continuous and unrelenting innovation to be able to do things not done before.