Special issue review demonstrates computational advances across nine modeling studies, highlighting parallel computing and machine learning applications.
Key Points
Advances in artificial intelligence and machine learning enhance mathematical modeling, driving new methods across materials science and drug discovery.
Across nine featured studies, parallel and distributed computing accelerates core matrix operations, heuristic searches, and time-series data processing.
Special issue analysis evaluates computational technologies from PDPTA'23, highlighting how supercomputing architectures support complex computer vision.