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Whether we’re talking about linear pallet systems, simple pallet changers, or robots, it’s clear there is a huge opportunity to automate US machining operations. While horizontal machines are automated more often than verticals, vertical machining centers are more prevalent than horizontals so the greatest untapped potential is in automating verticals.

Smart wearable tools are setting the tone with Industry4.0 for Italy’s auto factories of the future in today’s Maserati plants. Developing and using technology within today’s Smart Factories is providing a level of intra-connectivity that is changing the very framework of modern manufacturing.

In today’s rapidly changing manufacturing landscape, Clemson University (Clemson, SC) takes a fresh approach to manufacturing education for the nation’s future automotive engineers.

Moldmakers are under constant pressure to speed up the moldmaking process, improving their processes and product quality while boosting productivity.

Delta Sigma started thinking about augmented reality (AR) in 2005. By January 2008, the company, which designs and builds custom machinery to automate manufacturing and assembly processes for aircraft production, made its first installation on the F-22 vertical stabilizer.

Spend enough time on shop floors and you’ll learn about the two different groups of skilled workers that reside there. On one side are the old-school machinists—skilled craftspeople who use their hands, eyes and ears to guide machine tools. On the other side are the programmers and engineers.

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.

Nearly a year ago, the world became aware of a new computer virus known as WannaCry. Many institutions were affected by the ransomware. It encrypted and locked a Microsoft Windows computing system and demanded payment.

The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.

Smart manufacturing is about making the best decisions in the shortest time possible based on the most accurate real-time data—whether those decisions are made by people, machines or cyber-physical systems.