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When you walk into the Redeye On Demand facility in Eden Prairie, MN, you enter into one version of the factory of the future. There you will see a bank of 100 high-end Fortus fused-deposition modeling (FDM) machines from Stratasys that provide the capacity to build real, functional parts with production-grade thermoplastics directly from CAD data.

Engineers trying to keep track of liquid adhesives, coatings, sealants, and specialty chemical materials now have access to the free, searchable Gluespec database from Ellsworth Adhesives (Germantown, WI). The engineering research tool is designed by engineers to help engineers find the right adhesive and specialty materials for their projects as quickly and effectively as possible.

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.

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.

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.

In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.