… them as incredibly useful tools that can accomplish tasks that previously required native
human intelligence, so the temptation to speak of them also as “smart” will be difficult to resist. …

… domain of Artificial Intelligence (AI) and Machine Learning (… This imperative has catalyzed
the rise of cloud-native … of a microservices architecture within cloud-native AI ecosystems. This …

… are strong expectations that Artificial Intelligence (AI) will … also transition into edge intelligence
whereby not only network … Ultimately, this will allow to create a truly distributed intelligent …

… Looking at case studies of digital natives and responses from our survey, we find early
evidence that AI implemented at scale delivers attractive returns. Through a review of a large …

Artificial intelligence and machine learning systems are increasingly replacing human decision
makers in commercial, healthcare, educational and government contexts. But rather than …

… Since its earliest days, artificial intelligence has been long on … , “the problem of artificial
intelligence will be substantially … that AI would “surpass native human intelligence” by 2029. In …

… , and solutions based on artificial intelligence (AI) become … lack compatibility with notions of
native AI enablers, as foreseen in 6G… machine learning (ML) frameworks that interact through …

… The cognitive simulation of AstroDatabank records by using the Artificial Intelligence System -
AIDOS is reviewed in this paper. The technology of simulation is described and the mostly …

… this void by investigating the factors influencing digital natives’ AI-enabled mobile banking
… , and need for service towards digital natives’ AI-enabled mobile banking service adoption. …

… changes required for an artificial intelligence (AI)native network architecture towards …
for intelligent network management & orchestration. We argue that NetGPT is a promising AI-native …