AI Technique: ROM Challenges in Engineering Language Processing

We are NOT asking about the AI use cases anymore, but we only focus on how to quickly be smarter with that. AI engineering comes down to the quality and architecture of data sets for data connectivity and communication. In this sense, ROM must be the core language used in every engineering and the highest level inside the datasets.? To me, this is very critical information to be completely studied what language is used for ROM, and how to build ROM effectively.

ROM has to allow us a comprehensive understanding based on common engineering language and gives the core structure inside AI framework of digital engineering processes, but interestingly, we are NOT using the same macroscopic design standard language most of the time. The schematic example of ROM built by simulation used macroscopic mechanical engineering language same to car body designs and teardown analyses. This ROM represents the design parameters consisted of geometry topology and mechanical characteristics that turn into Data library collocated with physical and historical data sets. This is a part of data-driven engineering and quantifies the impact of digital connectivity as the digitalization footprint towards I4.0.