Engineers often face the painstaking task of having to figure out what is happening inside an object simply by observing its exterior conditions. To provide these engineers with more accurate and reliable information, a research team from South Korea develops a new deep learning approach. This method produces detailed predictions about internal structures, voids, and cracks of the material. How? Well, based on data about external conditions. Of course, the results are mind-blowing. Once this hits the market,...