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The machine as a social movement of today's “precariat”—those whose labor and lives are precarious. In this “concise philosophy of the machine,” Gerald Raunig provides a historical and critical backdrop to a concept proposed forty years ago by the French philosophers Félix Guattari and Gilles Deleuze: the machine, not as a technical device and apparatus, but as a social composition and concatenation. This conception of the machine as an arrangement of technical, bodily, intellectual, and social components subverts the opposition between man and machine, organism and mechanism, individual and community. Drawing from an unusual range of films, literature, and performance—from the role of bicycles in Flann O'Brien's fiction to Vittorio de Sica's Neorealist film The Bicycle Thieves, and from Karl Marx's “Fragment on Machines” to the deus ex machina of Greek drama—Raunig arrives at an enhanced conception of the machine as a social movement, finding its most apt and concrete manifestation in the Euromayday movement, which since 2001 has become a transnational activist and discursive practice focused upon the precarious nature of labor and lives.
‘A rare and remarkable book.' Times Literary Supplement Gilles Deleuze (1925-1995) was Professor of Philosophy at the University of Paris VIII. He is a key figure in poststructuralism, and one of the most influential philosophers of the twentieth century. Félix Guattari (1930-1992) was a psychoanalyst at the la Borde Clinic, as well as being a major social theorist and radical activist. A Thousand Plateaus is part of Deleuze and Guattari's landmark philosophical project, Capitalism and Schizophrenia - a project that still sets the terms of contemporary philosophical debate. A Thousand Plateaus provides a compelling analysis of social phenomena and offers fresh alternatives for thinking about philosophy and culture. Its radical perspective provides a toolbox for ‘nomadic thought' and has had a galvanizing influence on today's anti-capitalist movement. Translated by Brian Massumi>
For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact. The paperback edition has a new foreword by Rana el Kaliouby, PhD, a pioneer in artificial emotional intelligence, as well as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab.
More than a simple expository history, A Thousand Years of Nonlinear History sketches the outlines of a renewed materialist philosophy of history in the tradition of Fernand Braudel, Gilles Deleuze, and F lix Guattari, while also engaging the critical new understanding of material processes derived from the sciences of dynamics.Following in the wake of his groundbreaking War in the Age of Intelligent Machines, Manuel De Landa presents a radical synthesis of historical development over the last one thousand years. More than a simple expository history, A Thousand Years of Nonlinear History sketches the outlines of a renewed materialist philosophy of history in the tradition of Fernand Braudel, Gilles Deleuze, and F lix Guattari, while also engaging the critical new understanding of material processes derived from the sciences of dynamics. Working against prevailing attitudes that see history as an arena of texts, discourses, ideologies, and metaphors, De Landa traces the concrete movements and interplays of matter and energy through human populations in the last millennium. De Landa attacks three domains that have given shape to human societies: economics, biology, and linguistics. In every case, what one sees is the self-directed processes of matter and energy interacting with the whim and will of human history itself to form a panoramic vision of the West free of rigid teleology and naive notions of progress, and even more important, free of any deterministic source of its urban, institutional, and technological forms. Rather, the source of all concrete forms in the West's history are shown to derive from internal morphogenetic capabilities that lie within the flow of matter-energy itself.
This book offers a re-examination of the relationship between humans and nature with a new methodology: by examining our entanglement with machines. Using central ideas of critical theory, it uncovers the suppression of nature through technology, tools and engines. It focuses on the ways in which human social forms have actively subjugated and destroyed other species in order to enhance their own social power and accumulation, leading to a new Anthropocene epoch in which human intervention is signalled in the geological record. Beginning with an account of the interactions between humans and other species, the book moves on to explore the hidden history of Marx and his obsession with machines, as well as new attempts to rethink a Marxist ecology, before proceeding to examine the manner in which technologies were used to suppress and destroy one particular species - the Whale of what we call the Cetacean Holocaust. Following this, there are analyses of the emergence of the ‘human encampments’ of the cities and the rise of mobile, locomotive cultures, and consideration of the relationship between machines of memory, and the ‘capturing’ of nature. A radical rethinking of classical social theory that develops new ways of thinking about ecological catastrophe and nature, this book will appeal to scholars of social theory and environmental sociology.
“In From the American System to Mass Production, David A. Hounshell has provided a detailed, thoughtful, and comprehensive examination of American industrial technology from the early 1800s through the 1930s. Lavishly illustrated with 19th-century prints and more recent photographs of factory interiors and industrial products, this important work traces the direct and indirect routes down the road toward modern American industrial civilization. For business and labor historians and for historians of American technology and industrialization, Hounshell’s book will fill many gaps in the history of the technical contours of modern industrial America... [the book] begins with an examination of the origins of the American system of manufactures in government and private arms production and then moves to the sewing machine, woodworking, agricultural equipment, bicycle, and automobile industries. It touches on the important inventors and innovators and describes their fundamental contributions in these American industries. Most of the principal figures and institutions are covered: Simeon North, Eli Whitney, Thomas Blanchard, John H. Hall, and Samuel Colt in armories, Eli Terry and Seth Thomas in the clockmaking industry, the Wheeler and Wilson, Willcox and Gibbs, and Singer sewing machine firms, the Singer woodworking plant, the McCormick Reaper works, the Columbia, Pope, and Western Wheel Works bicycle companies, and the Ford and General Motors automotive corporations... Hounshell’s work is a major contribution to the social history of technical innovators and their innovations... All in all, From the American System to Mass Production is an impressive work. In his documentation of the history of American industrial technology, Hounshell has demonstrated the slow evolution and the near-failure of large-scale, capital-intensive, and work-degrading industrial systems. Whereas other historians of technology have tended to tread too lightly on the social dimensions of technical change, Hounshell has provided an excellent social analysis of the networks of innovators and their role in the diffusion of armory practices and other industrial advances from industry to industry.” — Technology and Culture “Mr. Hounshell is an enthusiastic, lively writer, yet very careful scholar. He is cautious in his conclusions and candid about what is debatable. He offers several sides of every issue; he does not judge particular technologies as good or bad... What stands out in this history is how slowly what appears to be a sensible, productive and efficient system of manufacturing was adopted, chiefly because it required a change in the mind-set of managers, changes in skills and work habits of workers, and disciplined procedures and practices throughout the plants.” — New York Times Book Review “David Hounshell’s history of the evolution of American production methods has few rivals; in execution of the theme, it has none... Hounshell carefully documents the development, transfer, and modification of the technology of the manufacture of interchangeable parts from firm to firm and industry to industry... A series of excellent technical photographs and Hounshell’s own field trials support his argument.” — Science “[A] meticulous study of mass production’s roots and early flowering... An able researcher, [Hounshell] follows the trail of early manufacturing ideas and shows how they were gradually perfected and diffused throughout different industries before converging in Ford’s miracle at Highland Park.” — Wall Street Journal “[An] important study which offers a convincing reinterpretation of the development of mass production in the United States. [Hounshell] has combined substantial new archival research with a synthesis of the mass of new work completed by others in the past three decades.” — Journal of Economic History
A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world—not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. One of the Financial Times' Best Books of 2021 One of Bill Gates' Five Favorite Books of 2021
David A. Houndshell's widely acclaimed history explores the American "genius for mass production" and races its origins in the nineteenth-century "American system" of manufacture. Previous writers on the American system have argued that the technical problems of mass production had been solved by armsmakers before the Civil War. Drawing upon the extensive business and manufacturing records if leading American firms, Hounshell demonstrates that the diffusion of arms production technology was neither as fast now as smooth as had been assumed. Exploring the manufacture of sewing machines and furniture, bicycles and reapers, he shows that both the expression "mass production" and the technology that lay behind it were developments of the twentieth century, attributable in large part to the Ford Motor Company. Hounshell examines the importance of individuals in the diffusion and development of production technology and the central place of marketing strategy in the success of selected American manufacturers. Whereaas Ford was the seedbed of the assembly line revolution, it was General motors that initiated a new era with its introduction of the annual model change. With the new marketing strategy, the technology of "the changeover" became of paramount importance. Hounshell chronicles how painfully Ford learned this lesson and recounts how the successful mass production of automobiles led to the establishment of an "ethos of mass production," to an era in which propoments of "Fordism" argued that mass production would solve all of America's social problems.
Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data. All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. For every machine learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All the images are available in color and hi-res as part of the code download. This new paradigm of teaching machine learning will bring about a radical change in perception for many of those who think this subject is difficult to learn. Though theory sometimes looks difficult, especially when there is heavy mathematics involved, the seamless flow from the theoretical aspects to example-driven learning provided in this book makes it easy for someone to connect the dots.. What You'll Learn Use the model building process flow Apply theoretical aspects of machine learning Review industry-based cae studies Understand ML algorithms using R Build machine learning models using Apache Hadoop and Spark Who This Book is For Data scientists, data science professionals and researchers in academia who want to understand the nuances of machine learning approaches/algorithms along with ways to see them in practice using R. The book will also benefit the readers who want to understand the technology behind implementing a scalable machine learning model using Apache Hadoop, Hive, Pig and Spark.
How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.