The Machine Age Series Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of The Machine Age Series book. This book definitely worth reading, it is an incredibly well-written.
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").
Throughout Disney's phenomenally successful run in the entertainment industry, the company has negotiated the use of cutting-edge film and media technologies that, J. P. Telotte argues, have proven fundamental to the company's identity. Disney's technological developments include the use of stereophonic surround sound for Fantasia, experimentation with wide-screen technology, inaugural adoption of three-strip Technicolor film, and early efforts at fostering depth in the animated image. Telotte also chronicles Disney's partnership with television, development of the theme park, and depiction of technology in science-fiction narratives. An in-depth discussion of Disney's shift into digital filmmaking with its Pixar partnership and an emphasis on digital special effects in live-action films, such as the Pirates of the Caribbean series, also highlight the studio's historical investment in technology. By exploring the technological context for Disney creations throughout its history, The Mouse Machine illuminates Disney's extraordinary growth into one of the largest and most influential media and entertainment companies in the world. Hardbook is unjacketed.
In this latest addition to Oxford's Modernist Literature & Culture series, renowned modernist scholar Michael North poses fundamental questions about the relationship between modernity and comic form in film, animation, the visual arts, and literature. Machine-Age Comedy vividly constructs a cultural history that spans the entire twentieth century, showing how changes wrought by industrialization have forever altered the comic mode. With keen analyses, North examines the work of a wide range of artists--including Charlie Chaplin, Walt Disney, Marcel Duchamp, Samuel Beckett, and David Foster Wallace--to show the creative and unconventional ways the routinization of industrial society has been explored in a broad array of cultural forms. Throughout, North argues that modern writers and artists found something inherently comic in new experiences of repetition associated with, enforced by, and made inevitable by the machine age. Ultimately, this rich, tightly focused study offers a new lens for understanding the devlopment of comedic structures during periods of massive social, political, and cultural change to reveal how the original promise of modern life can be extracted from its practical disappointment.
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.
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.
Arabic is the third most widely used script in the world, and gave rise to one of the richest manuscript cultures of mankind. Its representation in type has engaged printers, engineers, businesses and designers since the 16th century, and today most digital devices render Arabic type. Yet the evolution of the printed form of Arabic, and its development from metal to pixels, has not been charted before. Arabic Type-Making in the Machine Age provides the first comprehensive account of this history using previously undocumented archival sources. In this richly illustrated volume, Titus Nemeth narrates the evolution of Arabic type under the influence of changing technologies from the perspective of a practitioner, combining historical research with applied design considerations.
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.