AI is used to understand and analyze the results of simulation runs and scientific applications in HPC. It involves using Machine Learning (AM) to understand scientific applications, how they relate to different HPC architectures, and the impact of that relationship on performance and power consumption. It is more related to the knowledge discovery process and its result can be used in the self-tuning task of HPC systems.