… cloud-native database and artificial intelligence. Table 2 shows that the cloud-native database
dimension has six indicators. And Table 3 shows that the artificial intelligence dimension …

… 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 …

… Our research has identified two key enablers for efficiently integrating and systemizing
artificial intelligence (AI) in future radio-access network (RAN) systems. Firstly, AI algorithms must …

… Artificial Intelligence (AI) for communication networks (AI4Net), ie, on how the network
can profit from AI or Machine Learning … of emerging distributed intelligence solutions. As …

… The third approach, the one we call Artificial Intelligence, was an attempt to build intelligent
machines without any prejudice toward making the system simple, biological, or humanoid. (p…

Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …

… 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. …