With the outbreak of the coronavirus COVID-19 pandemic, the whole world has been facing the greatest challenge of a global health crisis. This crisis puts a heavy burden on the network community with regards to unprecedented challenges such as massive network data traffic and resource optimization. The next-generation networking (NGN) technologies (5G, B5G, and the upcoming 6G) driven by artificial intelligence (AI) and machine learning (ML) has the potential to address these challenges by providing powerful computational processing, ultra-massive machine-type communications with ultra-low latency along with a very high bitrate. The AI algorithms/techniques have huge potential for handling the massive volume of pandemic data, predicting the live pandemic crisis and initiating new research directions to have better network insights to tackle serious threats that effect the global community.

中文翻译：

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客座社论：人工智能网络技术应对流行病

随着冠状病毒 COVID-19 大流行的爆发，全世界都面临着全球健康危机的最大挑战。这场危机给网络社区带来了沉重的负担，面临着前所未有的挑战，例如海量的网络数据流量和资源优化。由人工智能 (AI) 和机器学习 (ML) 驱动的下一代网络 (NGN) 技术（5G、B5G 和即将到来的 6G）有可能通过提供强大的计算处理能力、超大规模机器学习来应对这些挑战。类型通信具有超低延迟和非常高的比特率。人工智能算法/技术在处理大量流行病数据方面具有巨大潜力，