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Abstract
During the ongoing pandemic of the novel coronavirus disease 2019 (COVID-19), latest technologies such as artificial intelligence (AI), blockchain, learning paradigms (machine, deep, smart, few short, extreme learning, etc.), high-performance computing (HPC), Internet of Medical Things (IoMT), and Industry 4.0 have played a vital role. These technologies helped to contain the disease’s spread by predicting contaminated people/places, as well as forecasting future trends. In this article, we provide insights into the applications of machine learning (ML) and high-performance computing (HPC) in the era of COVID-19. We discuss the person-specific data that are being collected to lower the COVID-19 spread and highlight the remarkable opportunities it provides for knowledge extraction leveraging low-cost ML and HPC techniques. We demonstrate the role of ML and HPC in the context of the COVID-19 era with the successful implementation or proposition in three contexts: (i) ML and HPC use in the data life cycle, (ii) ML and HPC use in analytics on COVID-19 data, and (iii) the general-purpose applications of both techniques in COVID-19’s arena. In addition, we discuss the privacy and security issues and architecture of the prototype system to demonstrate the proposed research. Finally, we discuss the challenges of the available data and highlight the issues that hinder the applicability of ML and HPC solutions on it.
Highlights
The novel coronavirus disease 2019 (COVID-19) has drastically changed the era of information gathering, processing, analytics, use, distribution, and removal
This section briefly discusses the data-related challenges that hinder the effective utilization of machine learning (ML) and high-performance computing (HPC) techniques, privacy and security issues in the COVID-19 context, a prototype system to demonstrate the effectiveness of the artificial intelligence (AI) and HPC techniques, and promising future research directions
This paper presented the role of the latest technologies (i.e., ML and HPC) in the fight against the unanticipated challenge of COVID-19
Summary
The novel coronavirus disease 2019 (COVID-19) has drastically changed the era of information gathering, processing, analytics, use, distribution, and removal. A concrete overview of ML and HPC usage in the COVID-19 context, and their usefulness in the mitigation and control of this pandemic, has not been discussed in previous studies. To address these issues, this study covers the applications of ML and HPC considering epidemic features (i.e., epidemic control measures, data life cycle in epidemic systems, and general application of ML and HPC). A compact overview of the fidelity of ML and HPC techniques in the era of COVID-19 is demonstrated with practical examples Through this concise perspective, we hope to provide a solid foundation for future research in the COVID-19 area.
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