3 research outputs found

    AI on the Move From : From On-Device to On-Multi-Device

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    On-Device AI is an emerging paradigm that aims to make devices more intelligent, autonomous and proactive by equipping them with machine and deep learning routines for robust decision making and optimal execution in devices' operations. On-Device intelligence promises the possibility of computing huge amounts of data close to its source, e.g., sensor and multimedia data. By doing so, devices can complement their counterpart cloud services with more sophisticated functionality to provide better applications and services. However, increased computational capabilities of smart devices, wearables and IoT devices along with the emergence of services at the Edge of the network are driving the trend of migrating and distributing computation between devices. Indeed, devices can reduce the burden of executing resource intensive tasks via collaborations in the wild. While several work has shown the benefits of an opportunistic collaboration of a device with others, not much is known regarding how devices can be organized as a group as they move together. In this paper, we contribute by analyzing how dynamic group organization of devices can be utilized to distribute intelligence on the moving Edge. The key insight is that instead of On-Device solutions complementing with cloud, dynamic groups can be formed to complement each other in an On-Multi-Device manner. Thus, we highlight the challenges and opportunities from extending the scope of On-Device AI from an egocentric view to a collaborative, multi-device view.Peer reviewe

    Over-the-Top (OTT) Networks\u27 Influence on Shared Cultural Memory

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    The digital landscape underwent a profound transformation in the Over-The-Top (OTT) network era, significantly altering media consumption. This study delved into the intricate and multifaceted impact of OTT networks on society, communication theory, and socio-cultural traditions, specifically emphasizing their influence on shared cultural memory. The research was rooted in a robust methodology that combined a Qualtrics online survey disseminated across various social media platforms and in-depth interviews with 25 carefully selected participants. This rigorous approach aimed to shed light on the profound influence of OTT networks on shared cultural memory while investigating how these platforms shaped perceptions, beliefs, attitudes, and values. The findings revealed the ascendant role of OTT networks in shaping shared cultural memory, exerting their influence on individual and collective memories, and fundamentally altering conventional paradigms of media communication. Within this landscape, the pivotal significance of content quality, viewer preferences, and the overarching theme of accessibility emerged as driving forces behind the widespread adoption of OTT services. This study shed light on how OTT networks revolutionized contemporary media consumption, impacted communication theory, and reshaped socio-cultural traditions. It underscored the need for ongoing research to fully grasp the profound implications of this digital revolution in a rapidly evolving technological landscape. OTT networks have revolutionized media consumption and played a pivotal role in shaping society\u27s collective memory in the digital era
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