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.
While precision, part programs and productivity have improved markedly, the basic process is still the same.
Shifts in microchip-making to aid automotive, medical
Nuclear power has long been a clean, dependable source of energy throughout the world. However, as power plants age, concerns grow on their continued reliability. There are many components that make up the infrastructure of a nuclear power plant with the design intent to reduce radiation and contamination exposure to personnel, equipment, and the surrounding environment.
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.
As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.
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.
New program empowers manufacturers through customer care for the life of their machines
Because its president saw opportunities to improve efficiency and an immediate need to make up for capacity lost due to impending worker retirements, Daiwa Steel Tube is set to save more than $1 million a year.
An Israeli company has developed new artificial intelligence technology that promises to dramatically change how original equipment manufacturers and their suppliers conduct quality control inspections.