442 research outputs found

    Digitalization and Development

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    This book examines the diffusion of digitalization and Industry 4.0 technologies in Malaysia by focusing on the ecosystem critical for its expansion. The chapters examine the digital proliferation in major sectors of agriculture, manufacturing, e-commerce and services, as well as the intermediary organizations essential for the orderly performance of socioeconomic agents. The book incisively reviews policy instruments critical for the effective and orderly development of the embedding organizations, and the regulatory framework needed to quicken the appropriation of socioeconomic synergies from digitalization and Industry 4.0 technologies. It highlights the importance of collaboration between government, academic and industry partners, as well as makes key recommendations on how to encourage adoption of IR4.0 technologies in the short- and long-term. This book bridges the concepts and applications of digitalization and Industry 4.0 and will be a must-read for policy makers seeking to quicken the adoption of its technologies

    20th SC@RUG 2023 proceedings 2022-2023

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    20th SC@RUG 2023 proceedings 2022-2023

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    The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems

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    Critical systems are characterized by their high degree of intolerance to threats, in other words, their high level of resilience, because depending on the context in which the system is inserted, the slightest failure could imply significant damage, whether in economic terms, or loss of reputation, of information, of infrastructure, of the environment, or human life. The security of such systems is traditionally associated with legacy infrastructures and data centers that are monolithic, which translates into increasingly high evolution and protection challenges. In the current context of rapid transformation where the variety of threats to systems has been consistently increasing, this dissertation aims to carry out a compatibility study of the microservice architecture, which is denoted by its characteristics such as resilience, scalability, modifiability and technological heterogeneity, being flexible in structural adaptations, and in rapidly evolving and highly complex settings, making it suited for agile environments. It also explores what response artificial intelligence, more specifically machine learning, can provide in a context of security and monitorability when combined with a simple banking system that adopts the microservice architecture.Os sistemas críticos são caracterizados pelo seu elevado grau de intolerância às ameaças, por outras palavras, o seu alto nível de resiliência, pois dependendo do contexto onde se insere o sistema, a mínima falha poderá implicar danos significativos, seja em termos económicos, de perda de reputação, de informação, de infraestrutura, de ambiente, ou de vida humana. A segurança informática de tais sistemas está tradicionalmente associada a infraestruturas e data centers legacy, ou seja, de natureza monolítica, o que se traduz em desafios de evolução e proteção cada vez mais elevados. No contexto atual de rápida transformação, onde as variedades de ameaças aos sistemas têm vindo consistentemente a aumentar, esta dissertação visa realizar um estudo de compatibilidade da arquitetura de microserviços, que se denota pelas suas caraterísticas tais como a resiliência, escalabilidade, modificabilidade e heterogeneidade tecnológica, sendo flexível em adaptações estruturais, e em cenários de rápida evolução e elevada complexidade, tornando-a adequada a ambientes ágeis. Explora também a resposta que a inteligência artificial, mais concretamente, machine learning, pode dar num contexto de segurança e monitorabilidade quando combinado com um simples sistema bancário que adota uma arquitetura de microserviços

    Doing Things with Words: The New Consequences of Writing in the Age of AI

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    Exploring the entanglement between artificial intelligence (AI) and writing, this thesis asks, what does writing with AI do? And, how can this doing be made visible, since the consequences of information and communication technologies (ICTs) are so often opaque? To propose one set of answers to the questions above, I begin by working with Google Smart Compose, the word-prediction AI Google launched to more than a billion global users in 2018, by way of a novel method I call AI interaction experiments. In these experiments, I transcribe texts into Gmail and Google Docs, carefully documenting Smart Compose’s interventions and output. Wedding these experiments to existing scholarship, I argue that writing with AI does three things: it engages writers in asymmetrical economic relations with Big Tech; it entangles unwitting writers in climate crisis by virtue of the vast resources, as Bender et al. (2021), Crawford (2021), and Strubell et al. (2019) have pointed out, required to train and sustain AI models; and it perpetuates linguistic racism, further embedding harmful politics of race and representation in everyday life. In making these arguments, my purpose is to intervene in normative discourses surrounding technology, exposing hard-to-see consequences so that we—people in the academy, critical media scholars, educators, and especially those of us in dominant groups— may envision better futures. Toward both exposure and reimagining, my dissertation’s primary contributions are research-creational work. Research-creational interventions accompany each of the three major chapters of this work, drawing attention to the economic, climate, and race relations that word-prediction AI conceals and to the otherwise opaque premises on which it rests. The broader wager of my dissertation is that what technologies do and what they are is inseparable: the relations a technology enacts must be exposed, and they must necessarily figure into how we understand the technology itself. Because writing with AI enacts particular economic, climate, and race relations, these relations must figure into our understanding of what it means to write with AI and, because of AI’s increasing entanglement with acts of writing, into our very understanding of what it means to write

    More Than Machines?

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    We know that robots are just machines. Why then do we often talk about them as if they were alive? Laura Voss explores this fascinating phenomenon, providing a rich insight into practices of animacy (and inanimacy) attribution to robot technology: from science-fiction to robotics R&D, from science communication to media discourse, and from the theoretical perspectives of STS to the cognitive sciences. Taking an interdisciplinary perspective, and backed by a wealth of empirical material, Voss shows how scientists, engineers, journalists - and everyone else - can face the challenge of robot technology appearing »a little bit alive« with a reflexive and yet pragmatic stance
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