Advances of HPC for AI Applications

Dear Colleagues,

Artificial intelligence (AI) is a cross-disciplinary technology based on mathematics, computer science, linguistics, psychology, and many more domains. It allows machines to simulate human behaviour or to solve problems intelligently by training AI models using vast volumes of application data. As more and more AI applications such as personalized shopping, autonomous vehicles, facial recognition, recommendation system, and voice assistant are available in our daily lives, a significant amount of computation and storage space are needed to improve AI applications.  To better serve AI applications, there is a significant amount of inter-domain studies in the High-Performance Computing (HPC) and AI communities that aim to 1) improve AI with the help of HPC techniques (i.e., “HPC for AI”) and 2) improve HPC through the use of AI techniques (i.e., “AI for HPC”). In this Special Issue, we would like to see all inter-domain research work between HPC and AI. 

Dr. Shanjiang Tang
Dr. Yusen Li
Guest Editors

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