"Photographs as well as a selection of drawings, prints, and paintings from the 1920s through the 1950s reveal the distinct taste and sensibility which formed the collection of Daniel Cowin and explore the evaluation of modernism and the dynamic relationships among its elements. Photographs by Jack Delano, Walker Evans, Dorothea Lange, Russell Lee, and John Vachon." -- Publisher's website.
An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.
The big stories -- The skills of the new machines : technology races ahead -- Moore's law and the second half of the chessboard -- The digitization of just about everything -- Innovation : declining or recombining? -- Artificial and human intelligence in the second machine age -- Computing bounty -- Beyond GDP -- The spread -- The biggest winners : stars and superstars -- Implications of the bounty and the spread -- Learning to race with machines : recommendations for individuals -- Policy recommendations -- Long-term recommendations -- Technology and the future (which is very different from "technology is the future").
A visual history of the electronic age captures the collision of technology and art—and our collective visions of the future. A hidden history of the twentieth century’s brilliant innovations—as seen through art and images of electronics that fed the dreams of millions. A rich historical account of electronic technology in the twentieth century, Inside the Machine journeys from the very origins of electronics, vacuum tubes, through the invention of cathode-ray tubes and transistors to the bold frontier of digital computing in the 1960s. But, as cultural historian Megan Prelinger explores here, the history of electronics in the twentieth century is not only a history of scientific discoveries carried out in laboratories across America. It is also a story shaped by a generation of artists, designers, and creative thinkers who gave imaginative form to the most elusive matter of all: electrons and their revolutionary powers. As inventors learned to channel the flow of electrons, starting revolutions in automation, bionics, and cybernetics, generations of commercial artists moved through the traditions of Futurism, Bauhaus, modernism, and conceptual art, finding ways to link art and technology as never before. A visual tour of this dynamic era, Inside the Machine traces advances and practical revolutions in automation, bionics, computer language, and even cybernetics. Nestled alongside are surprising glimpses into the inner workings of corporations that shaped the modern world: AT&T, General Electric, Lockheed Martin. While electronics may have indelibly changed our age, Inside the Machine reveals a little-known explosion of creativity in the history of electronics and the minds behind it.
The Machine Age of Customer Insight demonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of machine learning with cases from well-known companies. These cases show the opportunities and challenges of the transformation process for business and for customer insights more specifically.
Julie Wosk examines the role of machines in helping women reconfigure and transform their lives. She takes her readers through a gallery of fiction and high and low art which depicts women in their association with machines.
This book examines the current state of the technologically-caused unemployed, and attempts to answer the question of how to proceed into an era beyond technological unemployment. Beginning with an overview of the most salient issues, the experts collected in this work present their own novel visions of the future and offer suggestions for adapting to a more symbiotic economic relationship with AI. These suggestions include different modes of dealing with education, aging workers, government policies, and the machines themselves. Ultimately, they lay out a whole new approach to economics, one in which we learn to merge with and adapt to our increasingly intelligent creations.
