Imagine if researchers could use 8K premium resolution imaging techniques as seen on premium TVs to scan electron microscopy which is an essential equipment for material research. According to ScienceDaily, a new joint research time from both the Korea Institute of Materials Science, or KIMS, and POSTECH have applied deep learning in order to scan electron microscopy or SEM. This was in order to develop a super-resolution imaging technique which can help convert low-resolution electron backscattering diffraction, or EBSD, microstructure images that were obtained from other conventional analysis equipment into higher super-resolution images. The study findings were officially published in the npj Computational Materials. When it comes to modern-day materials research, SEM images actually play a huge role in developing new materials starting from microstructure visualization and characterization, as well as in the whole numerical material behavior analysis. AI has previously been used for a series of other health functions like AI being able to detect early stages of dementia.