… What kind of computing machinery do we need to advance Artificial Intelligence (AI) to … , in
which a machine strives to exhibit intelligence to make itself indistinguishable from a human in …

… In this paper we presented a comparison study between the performance of native binary …
’s capacity of (sometimes) outperforming native code by impressive margins will need further …

This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …

Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign
language education applications to increase the availability of experiential learning methods …

… In this article, we identify the key requirements and challenges of edge-native AI in 6G. A
self… (artificial intelligence), a hyper-flexible architecture that brings human-like intelligence into …

Spectacular progress in the information processing sciences (machine learning, wearable
sensors) promises to revolutionize the study of cognitive development. Here, we analyse the …

… The usability of the designed expert system through the use of the ESBUILDER shell also
shows the usefulness of artificial intelligence in decision-making and information presentation …

… We argue that for future AI-native wireless networks to be flexible and energy efficient, there
is a need for a new abstraction in network softwarization that caters for neural network type …

… The arrival of 5G together with advances in artificial intelligence, machine learning, cloud …
automation methodologies in building a cloud-native end-to-end edge computing platform. …

… 借助网络 功能虚拟化(NFV, network function virtualization), 软件定义网络(SDN, software
defined network)和 人工智能(AI, artificial intelligence)等技术,网络 将具有更高的灵活性和可扩展性…