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As the Internet becomes ubiquitous, there is widespread anxiety that it is either a source of moral corruption or a threat to business. This anxiety stems from the fact that the Internet calls the most restrictive aspects of legislation into question. Because the Internet is intrinsically orientated towards freedom, it should be championed, but there is a danger of celebrating new technology as an end in itself rather than the uses to which it can be put. Those commentators who most zealously promote the Internet are often as deluded as those who are afraid of it.

Funding Information: Acknowledgment This work was supported in part by the National Key R & D Program of China through Grant No. 2019YFB2101901; the National NSFC through Grants No. 62072332 and 62002260; and the China Postdoctoral Science Foundation under Grant No. 2020M670654. This work was also partially supported by the European Union Horizon 2020 Research and Innovation Program through the MonB5G Project under Grant No. 871780; the Academy of Finland Project CSN under Grant Agreement 311654; and the 6Genesis project under Grant No. 318927. Publisher Copyright: © 1986-2012 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved. | openaire: EC/H2020/871780/EU//MonB5G ; Along with the unprecedented development of artificial intelligence (AI), a considerable number of intelligent applications are universally recognized to significantly facilitate the evolution of anthropogenic activities. The abundant AI computing power is one of the main pillars to fuel the booming of ubiquitous AI applications. As the computing power proliferates to a multitude of network edges, even end devices, the networking function bridges the gap, on the one hand, among ends-edges-clouds, on the other hand, between the multiple AI computing power and the heterogeneous AI requirements. The emerging new opportunities have spawned the deep integration between computing and networking. However, the complete development of the integrated system is under-addressed, including adaptability, flexibility, and profitability. In this article, we propose a computing-power networking framework for ubiquitous AI by establishing Networking in AI computing-power pool, denoted as Net-in-AI. We design the framework to enable the adaptability for computing-power users, the flexibility for networking, and the profitability for computing-power providers. We then formulate a computing-networking resource allocation problem, with the joint perspective of these three aspects. Experimental results prove the superior performance of the proposed framework in comparison to the current popular schemes. ; Peer reviewed

Over the course of the unfolding of the DART initiative and the debates that have ensued, one of the most curious silences has been an absence of explicit discussion of how DA-RT relates to the practice that has historiwcally differentiated social scientific claims from other sorts: peer review. If DA-RT is intended to enforce quality standards, it is taking on a role that peer review has played for quite some time.1 As Dvora Yanow and I asked in an examination of the origins of DA-RT (2016, 11): [W]hat, precisely, is wrong with continuing to rely on peer review for policing epistemiccommunity standards? While the peer review process is not without problems or critics, when it functions well, it draws on [reviewers'] expertise. Informing this expertise are evaluative standards that are to some extent codified in methods texts, but practitioners also draw on expert knowledge that is often known tacitly (Polanyi 1966; Flyvbjerg 2001; Yanow 2015, 277–85; cf. Yashar 2016).