The Autonomous Web
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The Autonomous Web
This book initiates a transformation of the Web into a self-managing, autonomous information system to challenge today’s all-embracing role of big search engines as centralized information managers. In the last decades, the World Wide Web became the biggest source for all kinds of information needed. After a short review of the state of the art, a Web-based system is presented for the first time, which employs all its instances equally to provide, consume, and process information uniformly and consistently. In order to build such an efficient, decentralized, and fully integrated information space with all its needed functionalities, a set of diverse algorithms is introduced. These novel mechanisms for load balancing, routing, clustering, document classification, but also time-dependent information management pertain to almost all system levels. Finally, three different approaches to decentralized Web search are discussed that represent the backbone of the new autonomous Web.
Designing Autonomous AI
Author: Kence Anderson
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2022-06-14
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
Activism on the Web
Activism on the Web examines the everyday tensions that political activists face as they come to terms with the increasingly commercialized nature of web technologies and sheds light on an important, yet under-investigated, dimension of the relationship between contemporary forms of social protest and internet technologies. Drawing on anthropological and ethnographic research amongst three very different political groups in the UK, Italy and Spain, the book argues that activists’ everyday internet uses are largely defined by processes of negotiation with digital capitalism. These processes of negotiation are giving rise to a series of collective experiences, which are defined by the tension between activists’ democratic needs on one side and the cultural processes reinforced by digital capitalism on the other. In looking at the encounter between activist cultures and digital capitalism, the book focuses in particular on the tension created by self-centered communication processes and networked-individualism, by corporate surveillance and data-mining, and by fast-capitalism and the temporality of immediacy. Activism on the Web suggests that if we want to understand how new technologies are affecting political participation and democratic processes, we should not focus on disruption and novelty, but we should instead explore the complex dialectics between digital discourses and digital practices; between the technical and the social; between the political economy of the web and its lived critique.