A classic and influential work that laid the theoretical foundations for information theory and a timely text for contemporary informations theorists and practitioners. With the influential book Cybernetics, first published in 1948, Norbert Wiener laid the theoretical foundations for the multidisciplinary field of cybernetics, the study of controlling the flow of information in systems with feedback loops, be they biological, mechanical, cognitive, or social. At the core of Wiener's theory is the message (information), sent and responded to (feedback); the functionality of a machine, organism, or society depends on the quality of messages. Information corrupted by noise prevents homeostasis, or equilibrium. And yet Cybernetics is as philosophical as it is technical, with the first chapter devoted to Newtonian and Bergsonian time and the philosophical mixed with the technical throughout. This book brings the 1961 second edition back into print, with new forewords by Doug Hill and Sanjoy Mitter. Contemporary readers of Cybernetics will marvel at Wiener's prescience—his warnings against “noise,” his disdain for “hucksters” and “gadget worshipers,” and his view of the mass media as the single greatest anti-homeostatic force in society. This edition of Cybernetics gives a new generation access to a classic text.

This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.

An engaging argument about what experimental music can tell us about being human. In Experimenting the Human, G Douglas Barrett argues that experimental music speaks to the contemporary posthuman, a condition in which science and technology decenter human agency amid the uneven temporality of postwar global capitalism. Time moves forward for some during this period, while it seems to stand still or even move backward for others. Some say we’re already posthuman, while others endure the extended consequences of never having been considered fully human in the first place. Experimental music reflects on this state, Barrett contends, through its interdisciplinary involvements in postwar science, technology, and art movements. Rather than pursuing the human's beyond, experimental music addresses the social and technological conditions that support such a pursuit. Barrett locates this tendency of experimentalism throughout its historical entanglements with cybernetics, and in his intimate analysis of Alvin Lucier’s neurofeedback music, Pamela Z’s BodySynth performances, Nam June Paik’s musical robotics, Pauline Oliveros’s experiments with radio astronomy, and work by Laetitia Sonami, Yasunao Tone, and Jerry Hunt. Through a unique meeting of music studies, media theory, and art history, Experimenting the Human provides fresh insights into what it means to be human.

This forward-looking Research Handbook makes an insightful contribution to the emerging field of studies on communication of, by and with AI. Bringing together state-of-the-art research from over 50 leading international scholars across various fields, it provides a comprehensive overview of the complex intersections between AI and communication.

This book examines the ever-increasing impact of technology on our lives and explores a range of legal and constitutional questions that this raises. It considers the extent to which concepts such as 'cyberspace' and 'digital rights' advance or undermine our understanding of this development and proposes a number of novel approaches to the effective protection of our rights in this rapidly evolving environment. Finally, it shows how the abuse of the adjective digital has demoted legal rights into subjective and individual claims. The work will be of particular interest to scholars of privacy, artificial intelligence and free speech, as well as policymakers and the general reader.

There is a long-lasting controversy concerning our mind and consciousness. Mind, Brain, Quantum AI, and the Multiverse proposes a connection between the mind, the brain, and the multiverse. The author introduces the main philosophical ideas concerning mind and freedom, and explains the basic principles of computer science, artificial intelligence of brain research, quantum physics, and quantum artificial intelligence. He indicates how we can provide an answer to the problem of the mind and consciousness by describing the nature of the physical world. His proposed explanation includes the Everett Many-Worlds theory. This book tries to avoid any non-essential metaphysical speculations. The text is an essential compilation of knowledge in philosophy, computer science, biology, and quantum physics. It is written for readers without any requirements in mathematics, physics, or computer science.

Plug-and-Play Education: Knowledge and Learning in the Age of Platforms and Artificial Intelligence documents and critiques how the education sector is changing with the advancement of ubiquitous edtech platforms and automation. As programmability and computation reengineer institutions towards efficiency and prediction, the perpetual collection of and access to digital data is creating complex opportunities and concerns. Drawing from research into secondary and higher education settings, this book examines the influence of digital “infrastructuring”, the automation of teaching and learning, and the very purpose of education in a context of growing platformisation and artificial intelligence integration. These theoretical, practical, and policy-oriented insights will offer educational technologists, designers, researchers, and policymakers a more inclusive, diverse, and open-ended perspective on the design and implementation of learning technologies.