Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Beautiful Data
Beautiful Data is both a history of big data and interactivity, and a sophisticated meditation on ideas about vision and cognition in the second half of the twentieth century. Contending that our forms of attention, observation, and truth are contingent and contested, Orit Halpern historicizes the ways that we are trained, and train ourselves, to observe and analyze the world. Tracing the postwar impact of cybernetics and the communication sciences on the social and human sciences, design, arts, and urban planning, she finds a radical shift in attitudes toward recording and displaying information. These changed attitudes produced what she calls communicative objectivity: new forms of observation, rationality, and economy based on the management and analysis of data. Halpern complicates assumptions about the value of data and visualization, arguing that changes in how we manage and train perception, and define reason and intelligence, are also transformations in governmentality. She also challenges the paradoxical belief that we are experiencing a crisis of attention caused by digital media, a crisis that can be resolved only through intensified media consumption.
Alleys of Your Mind
What does thinking mean in the age of Artificial Intelligence? How is big-scale computation transforming the way our brains function? This collection discusses these pressing questions by looking beyond instrumental rationality. Exploring recent developments as well as examples from the history of cybernetics, the book uncovers the positive role played by errors and traumas in the construction of our contemporary technological minds. With texts by Benjamin Bratton, Orit Halpern, Adrian Lahoud, Jon Lindblom, Catherine Malabou, Reza Negarestani, Luciana Parisi, Matteo Pasquinelli, Ana Teixeira Pinto, Michael Wheeler, Charles Wolfe, and Ben Woodard.
Think Tank Aesthetics
How the approaches and methods of think tanks—including systems theory, operational research, and cybernetics—paved the way for a peculiar genre of midcentury modernism. In Think Tank Aesthetics, Pamela Lee traces the complex encounters between Cold War think tanks and the art of that era. Lee shows how the approaches and methods of think tanks—including systems theory, operations research, and cybernetics—paved the way for a peculiar genre of midcentury modernism and set the terms for contemporary neoliberalism. Lee casts these shadowy institutions as sites of radical creativity and interdisciplinary practice in the service of defense strategy. Describing the distinctive aesthetics ...
When is the Digital in Architecture?
But it's not just about articulating a variety of responses. Asking a question like "When is the digital in architecture?" can produce millions of stories in response and millions of digressions and redirections that narrow in focus and change geographies, producing a Tristram Shandy of the digital as the CCA continues to build its digital archive and make it increasingly accessible to researchers. If this novel of digressions is distributed across future research projects and extended with studies of new archival material, so much the better for the reader, in our opinion.
The Smartness Mandate
Over the last half century, "smartness"—the drive for ubiquitous computing—has become a mandate: a new mode of managing and governing politics, economics, and the environment. Smart phones. Smart cars. Smart homes. Smart cities. The imperative to make our world ever smarter in the face of increasingly complex challenges raises several questions: What is this "smartness mandate"? How has it emerged, and what does it say about our evolving way of understanding—and managing—reality? How have we come to see the planet and its denizens first and foremost as data-collecting instruments? In The Smartness Mandate, Orit Halpern and Robert Mitchell radically suggest that "smartness" is not pri...
The Cultural Life of Machine Learning
This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine learning. From its foundations in 1950s and 1960s pattern recognition and neural network research to the modern-day social and technological dramas of DeepMind’s AlphaGo, predictive political forecasting, and the governmentality of extractive logistics, machine learning has become controversial precisely because of its increased embeddedness and agency in our everyday lives. How can we disentangle the history of machine learning from conventiona...
Uncertain Archives
Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
Design Technics
Leading scholars historicize and theorize technology’s role in architectural design Although the question of technics pervades the contemporary discipline of architecture, there are few critical analyses on the topic. Design Technics fills this gap, arguing that the technical dimension of design has often been flattened into the broader celebratory rhetoric of innovation. Bringing together leading scholars in architectural and design history, the volume’s contributors situate these tools on a broader epistemological and chronological canvas. The essays here construct histories—some panoramic and others unfolding around a specific episode—of seven techniques regularly used by the desi...
Machine Learners
If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esote...
Media Futures
This book deals with the connection between media and the future. It is about the imagination of futuristic media and what this says about the present, but it also shows how media are imagined as means to control the future. The book begins by describing different theories of the evolution of media and by exploring how this evolution is tied to expectations regarding the future. The authors discuss the theories of imagination and how the imagination of media futures operates. To do so, they analyse four concrete examples: the imaginations once related to interactive television and how they were performed in an important piece of media art; those on “ubiquitous computing,” which remain present today; those on three-dimensional, especially holographic, displays that are prevalent everywhere in cinema, and lastly the contemporary imaginations on quantum computing and how they have been enacted in science fiction. The book appeals to readers interested in the question of how our present imagines its technological futures.
