Artificial intelligence has transformed industrial research and development in recent decades during what scientists call "the AI revolution." The technology enables detailed simulations and high-speed modeling that can streamline the journey from drawing board to production line by speeding up or cutting out costly, time-consuming steps to a practical working prototype. But those opportunities bring a new challenge: The simplest simulation package may require hours, days and sometimes weeks of training and configuration – even for users familiar with the software's details and requirements, which often vary from one computing platform to another. The process can cause not just headaches but wasted time and effort for busy engineers and others scrambling to meet tight deadlines. Simulations performed on the Summit supercomputer at Oak Ridge National Laboratory, or ORNL, could help eliminate that problem.

Unlike the previous three industrial revolutions (18th, 19th, and 20th Centuries), the 4th will be more decentralized, automated, and controlled interdependently (Qin, Liu, & Grosvenor, 2016). In the first industrial revolution, the factory achieved production primarily through machines powered by water and steam and heavy manpower. In the second, operations became slightly more complexed through machines powered by electricity supported by mass production and division of labour. The third industrial revolution ushered in the use of electronics and information technology, adding more complexity to the production process in making it more automated (Brettel, Friederichsen, Keller, & Rosenberg, 2014; Wolfgang, 2016). Undoubtedly, these three industrial revolutions would have impacted their countries' economies.