Filed under book | Tags: · avant-garde, cold war, collaboration, cultural history, electroacoustic music, electronic music, information theory, music history, technology
“Cold War electronic music—made with sine tone and white-noise generators, filters, and magnetic tape—was the driving force behind the evolution of both electronic and acoustic music in the second half of the twentieth century. Electronic music blossomed at the Westdeutscher Rundfunk (WDR [West German Radio]) in Cologne in the 1950s, when technologies were plentiful and the need for cultural healing was great. Building an electronic studio, West Germany confronted the decimation of the “Zero Hour” and began to rebuild its cultural prowess. The studio’s greatest asset was its laboratory culture, where composers worked under a paradigm of invisible collaboration with technicians, scientists, performers, intellectuals, and the machines themselves. Composers and their invisible collaborators repurposed military machinery in studio spaces that were formerly fascist broadcasting propaganda centers. Composers of Cold War electronic music reappropriated information theory and experimental phonetics, creating aesthetic applications from military discourses. In performing such reclamations, electronic music optimistically signaled cultural growth and progress, even as it also sonified technophobic anxieties. Electronic music—a synthesis of technological, scientific, and aesthetic discourses—was the ultimate Cold War innovation, and its impacts reverberate today.”
Publisher Oxford University Press, New York, 2018
The New Cultural History of Music series
ISBN 9780190868192, 0190868198
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Filed under book, proceedings | Tags: · cybernetics, information, information theory, mathematics
“Between 1946 and 1953, the Josiah Macy, Jr. Foundation sponsored a series of conferences aiming to bring together a diverse, interdisciplinary community of scholars and researchers who would join forces to lay the groundwork for the new science of cybernetics. These conferences, known as the Macy conferences, constituted a landmark for the field. They were the first to grapple with new terms such as information and feedback and to develop a cohesive and broadly applicable theory of systems that would become equally applicable to living beings and machines, economic and cognitive processes, and many scholarly disciplines. The concepts that emerged from the conferences come to permeate thinking in many fields, including biology, neurology, sociology, ecology, economics, politics, psychoanalysis, linguistics, and computer science.
This book contains the complete transcripts of all ten Macy conferences and the guidelines for the conference proceedings. These transcripts are supplemented with an introduction by Claus Pias that charts the significance of the Macy conferences to the history of science.”
Edited and with a Foreword by Claus Pias
Publisher Diaphanes, Zürich, 2016
ISBN 9783037345986, 3037345985
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Filed under book | Tags: · abstraction, algorithm, archaeology, artificial intelligence, code, data, diagram, error, information science, information theory, knowledge, machine learning, mathematics, neural networks, programming, theory
“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 esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking.
Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures.
Mackenzie’s account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.”
Publisher MIT Press, November 2017
ISBN 9780262036825, 0262036827
PDF (removed on 2018-8-20 upon request from publisher)
Draft and code samples on GIT