Technology is changing ever more rapidly. Sometimes this means topics learned in engineering or technical school become obsolete. Whole new fields emerge within a few years, so that even those with freshly minted educations suddenly find themselves faced with new challenges.
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.
Modern manufacturing is rapidly adopting model-based definition (MBD). When employing an MBD strategy, the CAD model becomes more than the nominal to which all parts are measured and inspected against. MBD keeps the all-important digital thread intact—from design to manufacturing to inspection and quality reporting.
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.
Explore the digital transformation of transportation, from EVs to smart manufacturing
There has never been a more exciting time in the automotive industry. We are seeing unprecedented advancements in technology and materials coming to market in record time.
At a Tier 1 automotive manufacturer in Mexico, it quickly became clear that AI in the factory was a fantastic solution to help human workers achieve greater levels of success; a human plus machine scenario where AI enhances the capabilities of, rather than replaces, human workers.
Claudia Jarrett, U.S. country manager at automation parts supplier EU Automation, explains why robots are more than affordable for small and mid-sized enterprises (SMEs).
The Pittsburgh region is a hotbed of activity in robotics and AI. This activity includes research and technology companies that commercialize academic research and solve real world problems.
Being a competitive player in the aerospace and defense industry is no small feat. In an industry in which you need to be accountable for every piece of an assembly, meeting customer expectations and requirements can be daunting tasks.