The Chaos Machine is an essential book for our times - Ezra Klein The Chaos Machine is the story of how the world was driven mad by social media. The election of populists like Trump and Bolsonaro; strife and genocide in countries like Myanmar; the rampant spread of COVID-19 conspiracy theories as deadly as the pandemic itself; all of these are products of a breakdown in our social and political lives, a breakdown driven by the apps, companies and algorithms that compete constantly for our attention. Max Fisher is a leading New York Times technology reporter whose work has covered the way that social media sites - driven increasingly by artificial intelligence rather than human ingenuity - push users towards more and more extreme positions, deepening the divisions in society in pursuit of greater engagement and profit. With extraordinary access to the most powerful players in Silicon Valley, and with testimonies from around the world of the havoc being wreaked by our online selves, The Chaos Machine shows us how we got to this uniquely perilous moment - and how we might get out of it.

Rich Kids: A History of Shopping Malls in Tehran is darkly comedic, urgent new play that explores the ubiquitous feeling that our societies are falling apart. It is the second part of a trilogy of plays from Javaad Alipoor about how digital technology, resentment and fracturing identities are changing the world. Combining digital theatre and a live Instagram feed, the production premiered at the Traverse Theatre in 2019, winning a Scotsman Fringe First Award. When its London transfer and subsequent national tour was postponed by the Covid-19 pandemic, co-creators Javaad Alipoor and Kirsty Housley set about devising a new digital version for online audiences which has been on virtual world tour since summer 2020 with performances at The Public Theater's Under The Radar Festival, HOME Manchester, Norfolk & Norwich Festival, Chicago's Woolly Mammoth Theatre, Electric Dreams Festival and the Sundance Film Festival. The Scotsman Fringe First Winner 'A compelling experiment… Thrillingly idea-rich, ambitious and formally adventurous.' The Stage 'An ambitious, sprawling show.' The Observer 

In this completely updated edition covering Excel 2021, Microsoft 365, and previous versions, Microsoft Excel Functions & Formulas 6/E demonstrates the secrets of Excel through the use of practical and useful examples in a quick reference format. New chapters have been added on data analytics and shortcut keys. The book's extensive examples and additional video tutorials make it an excellent resource for all Excel users who want to understand, create, and apply formulas. Experienced users will also find it to be an excellent reference for the program's advanced formulas and functions. The text is easy to understand with numerous step-by-step instructions and the actual, ready to use, Excel screenshots of the input and output from the formulas. The book includes companion files with video tutorials, over 250 worksheet files of examples for numerous functions, formulas, and all the figures from the text. Features Includes companion files with new video tutorials, over 250 Excel worksheet examples, and all of the figures from the text (including 4-color) Adds new chapters on data analytics and shortcut keys Completely updated to cover Excel 2021, Microsoft 365, and previous versions

Object detection is a basic visual identification problem in computer vision that has been explored extensively over the years. Visual object detection seeks to discover objects of specific target classes in a given image with pinpoint accuracy and apply a class label to each object instance. Object recognition strategies based on deep learning have been intensively investigated in recent years as a result of the remarkable success of deep learning-based image categorization. In this book, we go through in detail detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance. The book describes every newly proposed novel solution but skips through the fundamentals so that readers can see the field's cutting edge more rapidly. Moreover, unlike prior object detection publications, this project analyses deep learning-based object identification methods systematically and exhaustively, and also gives the most recent detection solutions and a collection of noteworthy research trends. The book focuses primarily on step-by-step discussion, an extensive literature review, detailed analysis and discussion, and rigorous experimentation results. Furthermore, a practical approach is displayed and encouraged.

Manufacturing companies have just begun to implement the concepts of the Fourth Industrial Revolution (Industry 4.0) on a larger scale. Still, this area is characterized by a rapid pace of technological change, blurring boundaries between physical, digital, and biological systems, and a quickly changing growing political, economic, and social environment -- leading to high uncertainty in decision making and many questions about the future development in this field. To provide guidance and inspiration for managers and academics on the future of digital manufacturing systems, this book presents the results of an extensive Delphi study on next-generation manufacturing systems, with a projection period of up to 2030. We analyzed almost 2000 quantitative estimations and more than 600 qualitative arguments from a large panel of industrial and academic experts from Europe, North America, and Asia. The book describes each of the 24 projections in detail, offering current case study examples and related research, as well as implications for policymakers, firms, and individuals. The empirical results also allowed us to build scenarios for the most probable future along the dimensions of governance, organization, capabilities, and interfaces from both a company-internal and an external (network) perspective.

ARE YOU READY FOR AN AMAZING NEW EDITION OF THE PHOTOSHOP BOOK THAT BREAKS ALL THE RULES? Scott Kelby, Editor and Publisher of Photoshop User magazine—and the #1 best-selling photography techniques author—once again takes this book to a whole new level as he uncovers more of the latest, most important, and most useful Adobe Photoshop techniques for photographers. This update to his award-winning, record-breaking book does something for digital photographers that has never been done before—it cuts through the bull and shows you exactly “how to do it.� It’s not a bunch of theory; it doesn’t challenge you to come up with your own settings or figure it out on your own. Instead, Scott shows you step by step the exact techniques used by today’s cutting-edge photographers, and best of all, he shows you flat-out exactly which settings to use, when to use them, and why. That’s why editions of this book are widely used as the official study guide in photography courses at colleges and universities around the world. The photographer’s workflow in Photoshop has evolved greatly over time and, in the latest edition of this book, you’ll learn how to leverage Photoshop’s new AI-powered masking features and how to spend less time on boring production tasks, so you can spend more time being creative. Plus, you’ll learn: The most useful retouching techniques for photographers, such as how to make “impossible� selections, like wind-blown hair (it’s easy, once you know the secrets), and how to use layers like a pro. The sharpening techniques the pros really use. The pros’ tricks for fixing the most common photo problems fast! How to seamlessly remove distracting things from your images. How to make the most of Camera Raw and when to work it into your workflow, even if you never shoot in RAW—it works great on JPEGs and TIFFs, too. The latest Photoshop special effects for photographers (there’s a whole chapter just on these!). A host of shortcuts, workarounds, and slick “insider� tricks to help you get twice the work done in half the time. You also get four online bonus chapters with even more content, along with the images used in the book, for download, so you can follow right along. If you’re ready to learn all the “tricks of the trade�—the same ones that today’s leading pros use to correct, edit, retouch, and sharpen their work—then you’re holding the book that will do just that.

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose. Key Features: Data analysis Data science Computational humanities Digital humanities Python Natural language processing Social network analysis App development

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose. Key Features: Data analysis Data science Computational humanities Digital humanities Python Natural language processing Social network analysis App development

Discusses automotive manufacturing processes in a comprehensive manner with the help of applications. Provides case studies addressing issues in the automotive industry and manufacturing operations in the production of vehicles. Discussion on material properties while laying emphasis on the materials and processing parameters. Covers applications and case studies of the automotive industry.

An Introduction to Numerical Methods: A MATLAB® Approach, Fifth Edition continues to offer readers an accessible and practical introduction to numerical analysis. It presents a wide range of useful and important algorithms for scientific and engineering applications, using MATLAB to illustrate each numerical method with full details of the computed results so that the main steps are easily visualized and interpreted. This edition also includes new chapters on Approximation of Continuous Functions and Dealing with Large Sets of Data. Features: Covers the most common numerical methods encountered in science and engineering Illustrates the methods using MATLAB Ideal as an undergraduate textbook for numerical analysis Presents numerous examples and exercises, with selected answers provided at the back of the book Accompanied by downloadable MATLAB code hosted at https/www.routledge.com/ 9781032406824

Talking about Journalism focuses on the relationship between journalism and the public and engages with this as a specific boundary-pushing relationship, where the ways we think about journalism are constantly being defined and re-defined through the ways we publicly discuss what journalism is, and what it does. It focuses, conceptually, on journalistic metadiscourse. These discourses of ‘journalists talking about journalism’ within news content serve as a way of publicly constructing meaning about journalism in our societies, what it should do, and how it corrects itself when it goes astray. The statement of purpose for this book will outline how thinking about metadiscourses allows us to see journalism being defined ‘in the open’, through the ways journalists and members of the public talk about journalism, and how this has developed over time. However, it does so in a way that reconsiders the parameters of this conversation. Where previously this was a discourse found in newspaper media columns, trade magazines, and similar spaces, it is now pervasive online, within digital alternative media, and in (hyper)active audience forums and comment sections. These expand our opportunities for understanding how journalism is being defined in the spaces where it is talked about, and for seeing the relationship between journalism, the public, and various counter-publics play out. This title explores new frontiers in terms of where and how journalism is being defined and redefined, not only by journalists but by the public as well. It does so while bringing forward theories of publics and counterpublics for our digital age.

Advocates a cybersecurity “social contract� between government and business in seven key economic sectors Cybersecurity vulnerabilities in the United States are extensive, affecting everything from national security and democratic elections to critical infrastructure and economy. In the past decade, the number of cyberattacks against American targets has increased exponentially, and their impact has been more costly than ever before. A successful cyber-defense can only be mounted with the cooperation of both the government and the private sector, and only when individual corporate leaders integrate cybersecurity strategy throughout their organizations. A collaborative effort of the Board of Directors of the Internet Security Alliance, Fixing American Cybersecurity is divided into two parts. Part One analyzes why the US approach to cybersecurity has been inadequate and ineffective for decades and shows how it must be transformed to counter the heightened systemic risks that the nation faces today. Part Two explains in detail the cybersecurity strategies that should be pursued by each major sector of the American economy: health, defense, financial services, utilities and energy, retail, telecommunications, and information technology. Fixing American Cybersecurity will benefit industry leaders, policymakers, and business students. This book is essential reading to prepare for the future of American cybersecurity.

"I can’t think of a more acute observer of the wild Silicon Valley saga than Mike Malone. He has seen it all from up close."
–Tom Wolfe, author of A Man in Full and The Bonfire of the Vanities

"Mike Malone is to Silicon Valley what George Orwell was to the Spanish Civil War."
–Paul A. Gigot, Editorial Page Editor
The Wall Street Journal

"One hundred years from now, when people talk about Silicon Valley, they will be using Mike Malone’s words."
–Tom Siebel, Chairman and CEO, Siebel Systems

"Malone has done it again! By compiling these gems from the past, we can revisit his powerful insights for the future. Thank you, Mike Malone, for helping to shape this legend we call ‘The Valley!’"
–Dr. Eric Schmidt Chairman and CEO, Google, Inc.

"In an area that has had too much hype, Mike Malone consistently provides the provocative, penetrating analyses and insights that brilliantly withstand the test of time. He is an impeccable source of enlightenment."
–Steve Forbes, President and Editor in Chief
Forbes Inc.

"An absolutely fascinating insight into life in Silicon Valley. It’s a beautiful combination of history, gossip, insight, and anecdote. It reads like a modern John Aubrey."
–Anthony Hopwood, Dean
Said Business School, Oxford University

The sure way for design professionals to learn SketchUp modeling and rendering techniques

"Rendering In SketchUp" provides instructions for creating 3D photoreal graphics for SketchUp models using integrated rendering programs. The book serves as a beginner rendering manual and reference guide to further develop rendering skills. With an emphasis on step-by-step process, SketchUp users learn a universal approach to rendering varied SketchUp projects, including architecture, interiors, and site design models.

The book focuses on tasks and principles at the core of photorealistic rendering, including: Rendering process: Learn a step-by-step process focused on workflow within SketchUp's familiar workspace. Universal method: Understand how the process can be used to work with a variety of different integrated rendering programs, including Shaderlight, SU Podium and Twilight Render**. These programs are easy to learn and function in SketchUp. >Textures and materials: Discover how to obtain, apply and edit texture images representing surfaces. Component details: Learn how to acquire and organize model details to allow for rich, expressive settings while maintaining computer and SketchUp performance. Exterior and simulated lighting: Learn to set exterior lighting with the SketchUp's Shadow menu or illuminate a scene with simulated lights, lamps, and bulbs. Render settings: Use specific settings for various rendering programs to quickly set texture character, image quality, and graphic output. Computer specifications: Find out how computers produce renders and the type of computer hardware required to streamline the process. Photoshop post-processing: Learn how to further refine rendered images in Photoshop. **Free online chapters: The book reviews specific settings for SketchUp and the rendering plug-in Shaderlight. Given the ever-changing nature of technology, free, online accompanying chapters detail settings for additional integrated rendering programs including SU Podium, Twilight Render, and more.

Depicts real-life scenarios in allocation problems; Use of software such as LINGO, MATLAB to develop new algorithmic techniques; Relevant due to uncertain behaviour of the market as a consequence of COVID-19 pandemic.

This book offers an in-depth and recent account of the research in Artificial Intelligence (AI) technologies and how it is impacting and shaping the field of international human resource management (IHRM). Grounded in contemporary developments in the field of technological change and the Future of Work and the fourth industrial revolution (4IR), the book lays down a solid foundation by offering a comprehensive review of the field of AI and IHRM. It includes empirical research, including case studies of global MNEs and conceptual chapters focusing on the impact of AI on IHRM practices and therefore business-level outcomes of productivity, efficiency, and effectiveness through the adoption of AI-assisted HR applications. The chapters in this volume evaluate individual IHRM practices and study how they impact employee-level outcomes of job satisfaction, personalization, employee commitment and so on. Finally, the book concludes by identifying current gaps in the literature and offers directions for future research for scholars to develop and advance future research agendas in the field. This volume will be of great use to researchers, academics and students in the fields of business and management, especially those with a particular interest in new age technologies of operating business. The chapters in this book, except for Conclusion, were originally published as a special issue of The International Journal of Human Resource Management.

Analyses of specific, animated films with timecodes give concrete lessons with pinpointed examples: Flee, Soul, Porco Rosso, and The Triplets of Belleville. Makes acting theory simple and straightforward for non-expert animation professionals and students. An updated online database of Ed’s previous film analyses, all in one place.

Focuses on several core aspects of Industry 4.0 on computer vision & imaging. Highlights several exciting techniques for disease prediction, NLP, image captioning, flood level assessment, crop classifications, and fabrication of smart wheelchairs. Covers several chapters on Natural Language Processing (NLP), focusing on Bangla language. Chapters presented in a step-by-step manner so that young minds can understand and implement easily.

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable. Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, machine learning, and artificial intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches. The goal is to minimize the mathematical background of readers that is required to understand the topics covered in this book. Thus, the book is appropriate for professionals and students in industrial engineering, business and economics, computer science, and applied mathematics.

Although cryptography plays an essential part in most modern solutions, especially in payments, cryptographic algorithms remain a black box for most users of these tools. Just as a sane backend developer does not drill down into low-level disk access details of a server filesystem, payments professionals have enough things to worry about before they ever need to bother themselves with debugging an encrypted value or a message digest. However, at a certain point, an engineer faces the need to identify a problem with a particular algorithm or, perhaps, to create a testing tool that would simulate a counterpart in a protocol that involves encryption. The world of cryptography has moved on with giant leaps. Available technical standards mention acronyms and link to more standards, some of which are very large while others are not available for free. After finding the standards for the algorithm, the specific mode of operation must also be identified. Most implementations use several cryptographic primitives—for example, key derivation with a block cipher, which produces a secret that is used together with a hash function and a double padding scheme to produce a digital signature of a base64-encoded value. Understanding this requires more sifting through online sources, more reading of platform and library documents, and finally, when some code can be written, there are very few test cases to validate it. Cryptography for Payment Professionals is intended for technical people, preferably with some background in software engineering, who may need to deal with a cryptographic algorithm in the payments realm. It does not cover the payment technology in-depth, nor does it provide more than a brief overview of some regulations and security standards. Instead, it focuses on the cryptographic aspects of each field it mentions. Highlights include: Major cryptographic algorithms and the principles of their operation Cryptographic aspects of card-present (e.g., magnetic stripe, EMV) and online (e.g., e-Commerce and 3DS 2.0) transactions A detailed description of TDES DUKPT and AES DUKPT protocols, as well as an example implementation and test cases for both It is best if the reader understands programming, number and string representations in machine memory, and bit operations. Knowledge of C, Python, or Java may make the examples easier to read but this is not mandatory. Code related to the book is available at the author’s GitHub site: https://github.com/ilya-dubinsky/cfpp