The Automated State
Author | : Janina Boughey |
Publisher | : |
Total Pages | : |
Release | : 2021-06-15 |
Genre | : |
ISBN | : 9781760022952 |
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Author | : Janina Boughey |
Publisher | : |
Total Pages | : |
Release | : 2021-06-15 |
Genre | : |
ISBN | : 9781760022952 |
Author | : Robert MacBride |
Publisher | : Philadelphia : Chilton Book Company |
Total Pages | : 432 |
Release | : 1967 |
Genre | : Automation |
ISBN | : |
Author | : Jim Shumway |
Publisher | : Routledge |
Total Pages | : 249 |
Release | : 2019-10-31 |
Genre | : Performing Arts |
ISBN | : 1351131494 |
Automated Performer Flying: The State of the Art shares the secrets of performer flying in entertainment history and provides step-by-step instructions on how to create a performer flying effect from scratch. This book sheds light on all aspects of performer flying, covering its history, explaining concepts like mechanical compensation versus electrical compensation, providing guidance on how to calculate stopping distances and forces, and sharing tips on how to build successful relationships with performers. Case studies of prominent productions featuring performer flying, including Cirque du Soleil and Beyoncé, are included throughout. Written for technical directors, theatrical riggers, and students of rigging, technical direction, and stagecraft courses, Automated Performer Flying takes readers through the process of creating a performer flying effect from the first spark of the idea to opening night.
Author | : Virginia Eubanks |
Publisher | : St. Martin's Press |
Total Pages | : 288 |
Release | : 2018-01-23 |
Genre | : Social Science |
ISBN | : 1466885963 |
WINNER: The 2018 McGannon Center Book Prize and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice The New York Times Book Review: "Riveting." Naomi Klein: "This book is downright scary." Ethan Zuckerman, MIT: "Should be required reading." Dorothy Roberts, author of Killing the Black Body: "A must-read." Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Cory Doctorow: "Indispensable." A powerful investigative look at data-based discrimination—and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years—because a new computer system interprets any mistake as “failure to cooperate.” In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.
Author | : Malik Ghallab |
Publisher | : Cambridge University Press |
Total Pages | : 373 |
Release | : 2016-08-09 |
Genre | : Computers |
ISBN | : 1107037271 |
This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.
Author | : Nicholas Diakopoulos |
Publisher | : Harvard University Press |
Total Pages | : 304 |
Release | : 2019-06-10 |
Genre | : Language Arts & Disciplines |
ISBN | : 0674239318 |
From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. Nicholas Diakopoulos explains the present and future of a world in which algorithms have changed how the news is created, disseminated, and received, and he shows why journalists—and their values—are at little risk of being replaced.
Author | : Jeffrey K. Gurney |
Publisher | : |
Total Pages | : |
Release | : 2020-11 |
Genre | : |
ISBN | : 9781641057226 |
"This book is framed around five areas of automated vehicle law: (1) background on automated vehicles, (2) the regulation of automated vehicles, (3) civil liability for automated vehicle crashes, (4) data security and privacy, and (5) criminal law"--
Author | : Kevin Roose |
Publisher | : Hachette UK |
Total Pages | : 256 |
Release | : 2021-03-04 |
Genre | : Technology & Engineering |
ISBN | : 152930475X |
A New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human. It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof? We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors. Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear. In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.
Author | : Niall Richard Murphy |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 552 |
Release | : 2016-03-23 |
Genre | : |
ISBN | : 1491951176 |
The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use
Author | : Frank Hutter |
Publisher | : Springer |
Total Pages | : 223 |
Release | : 2019-05-17 |
Genre | : Computers |
ISBN | : 3030053180 |
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.