"Made me look at the industrial revolution, invention, sleeping beauties, contexts and the forces that shape our societies differently."-David Byrne, New York Times Book Review How the history of technological revolutions can help us better understand economic and political polarization in the age of automation The Technology Trap is a sweeping account of the history of technological progress and how it has radically shifted the distribution of economic and political power among society's members. As Carl Benedikt Frey shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating. Middle-income jobs withered, wages stagnated, the labor share of income fell, profits surged, and economic inequality skyrocketed. These trends broadly mirror those in our current age of automation. But, just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. The Technology Trap demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present.

AI is ready for business. Are you ready for AI? From financial modeling and product design to performance management and hiring decisions, AI and machine learning are becoming everyday tools for managers at businesses of all sizes. But AI systems come with benefits and downsides-and if you can't make sense of them, you're not going to make the right decisions. Whether you need to get up to speed quickly or need a refresher, or you're working with an AI expert for the first time, the HBR Guide to AI Basics for Managers will give you the information and skills you need to succeed. You'll learn how to: Understand key AI terms and concepts Recognize which of your projects would benefit from AI Work more effectively with your data team Hire the right AI vendors and consultants Deal with ethical risks before they arise Scale AI across your organization Arm yourself with the advice you need to succeed on the job, with the most trusted brand in business. Packed with how-to essentials from leading experts, the HBR Guides provide smart answers to your most pressing work challenges.

This illuminating, engaging book offers an introduction to the art of sound design and postproduction audio, written especially for for directors, producers, sound designers, and teachers without a technical background in sound. Building on over 50 years of combined expertise in teaching, filmmaking, and sound design, experienced instructor and author Peter Rea and sound designer Matthew Polis offer a cogent, clear, and practical overview of sound design principles and practices, from exploring the language and vocabulary of sound to teaching readers how to work with sound professionals, and later to overseeing the edit, mix, and finishing processes. In this book, Rea and Polis focus on creative and practical ways to utilize sound in order to achieve the filmmaker's vision and elevate their films. Balancing practical, experienced-based insight, numerous examples, and unique concepts like storyboarding for sound, A Filmmaker’s Guide to Sound Design arms students, filmmakers, and educators with the knowledge to creatively and confidently navigate their film through the post audio process.

- The first comprehensive beginner's guide to the Grease Pencil component of Blender - Facets of operation are explained in short concise chapters with cross references - Written instruction is accompanied by diagram illustrations, in reference to the program's Graphical User Interface

One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th anniversary edition includes an introduction from the authors setting the work in context. This comprehensive textbook describes such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error-correction. Quantum mechanics and computer science are introduced before moving on to describe what a quantum computer is, how it can be used to solve problems faster than 'classical' computers and its real-world implementation. It concludes with an in-depth treatment of quantum information. Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering.

Information Technology for Management provides students with a comprehensive understanding of the latest technological developments in IT and the critical drivers of business performance, growth, and sustainability. Integrating feedback from IT managers and practitioners from top-level organizations worldwide, the International Adaptation of this well-regarded textbook features thoroughly revised content throughout to present students with a realistic, up-to-date view of IT management in the current business environment. This text covers the latest developments in the real world of IT management with the addition of new case studies that are contemporary and more relevant to the global scenario. It offers a flexible, student-friendly presentation of the material through a pedagogy that is designed to help students easily comprehend and retain information. There is new and expanded coverage of Artificial Intelligence, Robotics, Quantum Computing, Blockchain Technology, IP Intelligence, Big Data Analytics, IT Service Management, DevOps, etc. It helps readers learn how IT is leveraged to reshape enterprises, engage and retain customers, optimize systems and processes, manage business relationships and projects, and more.

Pulling aside the curtain of 'Big Data' buzz, this book introduces C-suite and other non-technical senior leaders to the essentials of obtaining and maintaining accurate, reliable data, especially for decision-making purposes. Bad data begets bad decisions, and an understanding of data fundamentals - how data is generated, organized, stored, evaluated, and maintained - has never been more important when solving problems such as the pandemic-related supply chain crisis. This book addresses the data-related challenges that businesses face, answering questions such as: What are the characteristics of high-quality data? How do you get from bad data to good data? What procedures and practices ensure high-quality data? How do you know whether your data supports the decisions you need to make? This clear and valuable resource will appeal to C-suite executives and top-line managers across industries, as well as business analysts at all career stages and data analytics students.

This book covers the process of creating digital characters for videogames as well as for 3D print and collectibles. It looks at character asset creation for high-end AAA console games as well as asset creation for legacy devices and the ever-growing mobile gaming industry. Lastly, it covers creation of figurines for 3D printing and collectables. The book provides a step-by-step walk through of creating these assets at an industry level standard. It includes the necessary theory that you need to understand how to be an effective character artist, but primarily focuses on the practical skills needed for creating character assets in the modern games and collectibles industries. This book will be of great interest to all beginner and junior character artists currently working in the gaming or collectable industry or looking to enter these industries. There is also relevant content in the highly detailed examples for people currently working in the industry and looking to pick up a few new tips, tricks and knowledge.

AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence technologies in scientific research and discovery across the full breadth of scientific disciplines. Artificial intelligence technologies support discovery science in multiple different ways. They support literature management and synthesis, allowing the wealth of what has already been discovered and reported on to be integrated and easily accessed. They play a central role in data analysis and interpretation - in the context of what is called 'data science'. AI is also helping to combat the reproducibility crisis in scientific research, by underpinning the discovery process with AI-enabled standards and pipelines, support the management of large-scale data and knowledge resources so that they can be shared, integrated and serve as a background 'knowledge ecosystem' into which new discoveries can be embedded. However, there are limitations to what AI can achieve and its outputs can be biased and confounded thus should not be blindly trusted. The latest generation of hybrid and 'human-in-the-loop' AI technologies have as their objective a balance between human inputs and insights and the power of the number-crunching and statistical inference at massive scale that AI technologies are best at.

This book takes you through all the basic steps of character design for games and animation, from brainstorming and references through to the development phase and final render. It covers a range of styles such as cartoon, stylized and semi-realistic, and explains how to differentiate between them and use them effectively. Using a step-by-step approach for each stage of the process, this book guides you through the process of creating a new character from scratch. It contains a wealth of design tips and tricks as well as checklists and worksheets for you to use in your own projects. The book covers how to work with briefs, as well as providing advice and practical strategies for working with clients and creating art as a product that can be tailored and sold. This book will be a valuable resource for all junior artists, hobby artists, and art students looking to develop and improve their character development skills for games and animation.

This insightful book explores the citizen-government relation, as mediated through artificial intelligence (AI). Through a critical lens, Jerome Duberry examines the role of AI in the relation and its implications for the quality of liberal democracy and the strength of civic capacity. In his analysis of AI, Duberry covers three key objectives: illustrating where and how AI is used in the context of citizen-government relations; highlighting the specific risks of using AI for citizen-government relations; and calling for a dedicated framework for assessing AI in these contexts. The author assesses the promises and pitfalls of AI at various levels of the citizen-government relation, including citizen participation, civic technology and political communication. Employing empirical findings from in-depth case studies and interviews with 40 experts in the field, the book stresses the burgeoning need for an innovative, human-centric management of AI in the citizen-government relation based on risk assessment that prioritises equality, freedom, human rights and popular sovereignty. Intervening at a key watershed in the history of digital politics, this timely book is key reading for researchers and scholars of political science and public policy, particularly those studying the digital landscape of contemporary policy and politics. It also offers significant empirical insights into the benefits and risks of AI for policymakers and civil servants working with new technologies.

The Official (ISC)2 (R) Guide to the CISSP (R)-ISSEP (R) CBK (R) provides an inclusive analysis of all of the topics covered on the newly created CISSP-ISSEP Common Body of Knowledge. The first fully comprehensive guide to the CISSP-ISSEP CBK, this book promotes understanding of the four ISSEP domains: Information Systems Security Engineering (ISSE); Certification and Accreditation; Technical Management; and an Introduction to United States Government Information Assurance Regulations. This volume explains ISSE by comparing it to a traditional Systems Engineering model, enabling you to see the correlation of how security fits into the design and development process for information systems. It also details key points of more than 50 U.S. government policies and procedures that need to be understood in order to understand the CBK and protect U.S. government information. About the Author Susan Hansche, CISSP-ISSEP is the training director for information assurance at Nortel PEC Solutions in Fairfax, Virginia. She has more than 15 years of experience in the field and since 1998 has served as the contractor program manager of the information assurance training program for the U.S. Department of State.

This book is intended for entry-level digital SLR users. It is a comprehensive step-by-step guide that includes a pullout quick reference card. UK author Jon Sparks provides practical tips on how to get the best from this versatile camera. The D3300 is Nikon's latest entry-level DSLR. It is designed to marry the versatility and image quality of an SLR with the simplicity and ease of handling of the best digital compacts. Nikon has always valued continuity as well as innovation; e.g, it has retained its tried and tested F lens-mount (originally introduced in 1959). This means it's possible to use many classic Nikon lenses with the D3300. At first glance, the D3300 may look like a modest upgrade to the D3200, but there are some significant changes under the surface. The camera is almost exactly the same size as its predecessor, but significantly lighter. It has a 24-megapixel sensor; the pixel count may be the same as the D3200, but there's a major difference as the D3300 has dispensed with an 'anti-aliasing' filter in front of its sensor to make images even sharper.

This book provides readers to the vision of Society 5.0, which was originally proposed in the fifth Basic Science and Technology Plan by Japan's government for a technology-based, human-centered society, emerging from the 4th industrial revolution (Industry 4.0). The implementation of AI and other modern techniques in a smart society requires automated data scheduling and analysis using smart applications, a smart infrastructure, smart systems, and a smart network. Features Provides an overview of basic concepts of Society 5.0 as well as the main pillars that supports the implementation of Society 5.0. Contains the most recent research analysis in the domain of computer vision, signal processing and computing sciences for facilitating the smart homes, buildings, transport, facilities, environmental conditions and cities, and the benefits these offer to a nation. Presents the readers with practical approaches of using AI and other algorithms for smart ecosystem to deals with human dynamics, the social objects, and their relations. Deals with the utilization of AI tools and other modern techniques for smart society as well as the current challenging issues and its solutions for transformation to Society 5.0. This book is aimed at graduate and post graduate students, researchers, academicians working in the field of computer science, artificial intelligence, and machine learning.

Provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions and will provide insights to researchers about healthcare industry, trends and future perspective. Examines how healthcare systems of the future will operate, by augmenting clinical resources and ensuring optimal patient outcomes. Provides insight about how Edge-AI is revolutionizing decision making, early warnings for conditions, and visual inspection in healthcare. Highlight trends, challenges, opportunities and future areas where Healthcare informatics deal with accessing vast data sets of potentially life-saving information.

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Besides, the electromagnetic parameters of complex medium such as the permittivity and conductivity are retrieved by a cascaded framework in Chapter 4. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 5. Finally, in Chapter 6, a series of the latest advanced frameworks and the corresponding physics applications are introduced. As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

The simplest, easiest, and quickest ways to learn over 250 Lightroom tips, tricks, and techniques! Lightroom has become the photographer s best tool because it just has so much power and so much depth, but because it has so much power and depth, sometimes the things you need are well kinda hidden or not really obvious. There will be a lot of times when you need to get something done in Lightroom, but you have no idea where Adobe hid that feature, or what the secret handshake is to do that thing you need now so you can get back to working on your images. That s why this book was created: to get you to the technique, the shortcut, or exactly the right setting, right now. How Do I Do That In Lightroom? (3rd Edition) is a fully updated version of the bestselling first and second editions, and it covers all of Lightroom's newest and best tools, such as its powerful masking features. Here's how the book works: When you need to know how to do a particular thing, you turn to the chapter where it would be found (Organizing, Importing, Developing, Printing, etc.), find the thing you need to do (it s easy each page covers just one single topic), and Scott tells you exactly how to do it just like he was sitting there beside you, using the same casual style as if he were telling a friend. That way, you get back to editing your images fast.

How can matter behave both like a particle and a wave? Does a particle exist before we look at it or does the very act of looking bring it into reality? Is there a place where the quantum world ends and our perceivable world begins? Many of science's greatest minds including Thomas Young, Albert Einstein and Richard Feynman have grappled with the questions embodied in the simple yet elusive 'double-slit' experiment in order to understand the fabric of our universe. With his extraordinary gift for making the complicated comprehensible, Anil Ananthaswamy travels around the world and through history, down to the smallest scales of physical reality we have yet fathomed, to reveal the answers.

Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.

This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation. Expert contributors analyze the applications of machine learning in human resources, including machine learning on text data, audio and video data, social media data, and in recruiting and staffing. They also explore a range of innovative topics such as knowledge representation and reasoning, and evolutionary computing. Discussing the explainability, fairness, accountability, and legitimacy of AI in HR, chapters bring normative issues to the fore. Approaches to researching AI in HR and to employing AI in HR research are also tackled. Offering an insight into existing research on artificial intelligence in human resources, the Handbook introduces core issues and considers implications for future research. This Handbook will be critical reading for scholars and students of human resource management, knowledge management, organizational innovation, computer science, and information systems. It will also be beneficial for practitioners in these fields.

This book takes you through all the basic steps of character design for games and animation, from brainstorming and references through to the development phase and final render. It covers a range of styles such as cartoon, stylized and semi-realistic, and explains how to differentiate between them and use them effectively. Using a step-by-step approach for each stage of the process, this book guides you through the process of creating a new character from scratch. It contains a wealth of design tips and tricks as well as checklists and worksheets for you to use in your own projects. The book covers how to work with briefs, as well as providing advice and practical strategies for working with clients and creating art as a product that can be tailored and sold. This book will be a valuable resource for all junior artists, hobby artists, and art students looking to develop and improve their character development skills for games and animation.

The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, then using statistical models to analyse data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a model into production, all done in a reproducible way. At the moment, there are a lot of books that teach data science, but most of them assume that you already have the data. This book fills that gap by detailing how to go about gathering datasets, cleaning and preparing them, before analysing them. There are also a lot of books that teach statistical modelling, but few of them teach how to communicate the results of the models and how they help us learn about the world. Very few data science textbooks cover ethics, and most of those that do, have a token ethics chapter. Finally, reproducibility is not often emphasised in data science books. This book is based around a straight-forward workflow conducted in an ethical and reproducible way: gather data, prepare data, analyse data, and communicate those findings. This book will achieve the goals by working through extensive case studies in terms of gathering and preparing data, and integrating ethics throughout. It is specifically designed around teaching how to write about the data and models, so aspects such as writing are explicitly covered. And finally, the use of GitHub and the open-source statistical language R are built in throughout the book. Key Features: Extensive code examples. Ethics integrated throughout. Reproducibility integrated throughout. Focus on data gathering, messy data, and cleaning data. Extensive formative assessment throughout.

Universally acclaimed as the book on garbage collection. A complete and up-to-date revision of the 2012 Garbage Collection Handbook. Thorough coverage of parallel, concurrent and real-time garbage collection algortithms including C4, Garbage First, LXR, Shenandoah, Transactional Sapphire and ZGC, and garbage collection on the GPU. Clear explanation of the trickier aspects of garbage collection, including the interface to the run-time system, handling of finalisation and weak references, and support for dynamic languages. New chapters on energy aware garbage collection, and persistence and garbage collection. The e-book includes more than 40,000 hyperlinks to algorithms, figures, glossary entries, indexed items, original research papers and much more. Backed by a comprehensive online database of over 3,400 garbage collection-related publications