Scientific applications are increasingly adopting Artificial Intelligence (AI) techniques to
advance science. High-performance computing centers are evaluating emerging novel …

The measurable properties of the artifacts or objects in the computer, management, or
finance disciplines are extrinsic, not inherent—dependent on their problem definitions and …

Scientific machine learning (SciML) promises to have a transformational impact on scientific
exploration, by combining state-of-the-art AI methods with the latest generation of …

Due to its many applications across various fields of research, engineering, and daily life,
deep learning has seen a surge in popularity. Therefore, larger and more expressive models …

Newly developed machine learning technology is promising to profoundly impact high-
performance computing, with the potential to significantly accelerate scientific discoveries …

Recent years witness a trend of applying large-scale distributed deep learning algorithms
(HPC AI) in both business and scientific computing areas, whose goal is to speed up the …