Kai-Fu Lee—one of the world’s most respected experts on AI and China—reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace.In AI Superpowers, Kai-Fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee’s opinion, probably not.  But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in human history that are coming soon.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    This book is streamlined to include only core certification information, and is presented for ease of last-minute studying. Main objectives of the exam are covered concisely with key concepts highlighted. The CISSP certification is the most prestigious, globally-recognized, vendor neutral exam for information security professionals. Over 100,000 professionals are certified worldwide, with many more joining their ranks. This new third edition is aligned to cover all of the material in the most current version of the exam’s Common Body of Knowledge. All domains are covered as completely and concisely as possible, giving users the best possible chance of acing the exam. Completely updated for the most current version of the exam’s Common Body of Knowledge Provides the only guide you need for last-minute studying Answers the toughest questions and highlights core topics Streamlined for maximum efficiency of study, making it ideal for professionals updating their certification or for those taking the test for the first time

    . . . have the courage to follow your heart and intuition."--Steve JobsFrom the start, his path was never predictable. Steve Jobs was given up for adoption at birth, dropped out of college after one semester, and at the age of twenty, created Apple in his parents' garage with his friend Steve Wozniack. Then came the core and hallmark of his genius--his exacting moderation for perfection, his counterculture life approach, and his level of taste and style that pushed all boundaries. A devoted husband, father, and Buddhist, he battled cancer for over a decade, became the ultimate CEO, and made the world want every product he touched.Critically acclaimed author Karen Blumenthal takes us to the core of this complicated and legendary man while simultaneously exploring the evolution of computers. Framed by Jobs' inspirational Stanford commencement speech and illustrated throughout with black and white photos, this is the story of the man who changed our world.

    However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.

    It’s time we stand face-to-digital-face with the true powers and limitations of the algorithms that already automate important decisions in healthcare, transportation, crime, and commerce. Hello World is indispensable preparation for the moral quandaries of a world run by code, and with the unfailingly entertaining Hannah Fry as our guide, we’ll be discussing these issues long after the last page is turned.

    Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated.Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence.An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center.Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read. Tim Roughgarden Stanford University

    We're baffled when we're confronted with complex challenges like recession, political gridlock, climate change, childhood obesity, pollution, and failing schools. We see them as separate ills, each requiring a separate remedy-if we can imagine a remedy at all.Why are so many jobs disappearing? Why are a few people getting rich while the rest of us struggle? How can we pay for the costs of healthcare? Why can't our trusted institutions behave ethically? What's the cause of governmental gridlock? How can we afford to educate our children? How do we stop damaging the ecosystem? Why do we create ugliness?Author Marty Neumeier suggests that these problems are merely symptoms of a much larger problem-our inability to deal with interconnected, non-linear, and amorphous challenges. It's not that our problems are too difficult, he argues, but that our skills are too basic. Success in the post-industrial era demands that we move our thinking from the static, the linear, and the step-by-step to the dynamic, the holistic, and the all-at-once.In this sweeping vision for personal mastery in a post-industrial era, Neumeier presents five metaskills-feeling, seeing, dreaming, making, and learning-that can help you reach your true potential. They'll keep you two or three steps ahead of the machines, the algorithms, and the outsourcing forces of the "robot curve". They'll also bring you greater creativity, higher purpose, and a deeper sense of fulfillment.Metaskills is more than a manifesto. It's a compass for visionary leaders, policymakers, educators, and planners. It's a creative framework for designers, engineers, scientists, and artists. It's a picture of the future that allows people from a wide range of disciplines, industries, and professions to envision new ways to create value together. Perhaps more important, it's a long-overdue examination of what it means to be human in the 21st century.

    Today, Stephen Hawking believes that AI “could spell the end of the human race.” At the very least, its development raises complicated moral issues with powerful real-world implications—for us and for our machines.In this volume, recording artist Brian Eno proposes that we’re already part of an AI: global civilization, or what TED curator Chris Anderson elsewhere calls the hive mind. And author Pamela McCorduck considers what drives us to pursue AI in the first place.On the existential threat posed by superintelligent machines, Steven Pinker questions the likelihood of a robot uprising. Douglas Coupland traces discomfort with human-programmed AI to deeper fears about what constitutes “humanness.” Martin Rees predicts the end of organic thinking, while Daniel C. Dennett explains why he believes the Singularity might be an urban legend.Provocative, enriching, and accessible, What to Think About Machines That Think may just be a practical guide to the not-so-distant future.

    By following the recommendations of the Association of Computing Machinery's Java Task Force, this first edition text adopts a modern objects-first approach that introduces readers to useful hierarchies from the very beginning.KEY TOPICS: Introduction; Programming by Example; Expressions; Statement Forms; Methods; Objects and Classes; Objects and Memory; Strings and Characters; Object-Oriented Graphics; Event-Driven Programs; Arrays and ArrayLists; Searching and Sorting; Collection Classes; Looking Ahead.MARKET: A modern objects-first approach to the Java programming language that introduces readers to useful class hierarchies from the very beginning.

    This period was the nadir of Jobs’s professional life, as NeXT’s products failed to find a welcome in the marketplace. The company burned through more than $250 million without managing to eke out a profit. It would eventually be rescued by Apple and Jobs would return there after the close of the book’s narrative. When he did, he took with him lessons learned during his NeXT years in how not to manage a company.

    In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: the union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

    Updated and revised for iPhone SDK 3, many of the discussions in the original book have been clarified to make some of the more complex topics easier to understand. In addition, all of the projects have been rebuilt from scratch using the SDK 3 templates.Assuming only a minimal working knowledge of Objective-C, and written in a friendly, easy-to-follow style, this book offers a complete soup-to-nuts course in iPhone and iPod touch programming. The book starts with the basics, walking you through the process of downloading and installing Apple's free iPhone SDK, and then stepping you though the creation of your first simple iPhone application. From there, you'll learn to integrate all the interface elements iPhone users have come to know and love, such as buttons, switches, pickers, toolbars, and sliders. You'll master a variety of design patterns, from the simplest single view to complex hierarchical drill-downs. The confusing art of table building will be demystified, and you'll see how to save your data using the iPhone file system. You'll also learn how to save and retrieve your data using SQLite, iPhone's built-in database management system. In addition, you'll also learn about Core Data, an important persistence mechanism that has just been added with SDK 3.And there's much more! You'll learn to draw using Quartz 2D and OpenGL ES, add multitouch gestural support (pinches and swipes) to your applications, and work with the camera, photo library, accelerometer, and built-in GPS. You'll discover the fine points of application preferences and learn how to localize your apps for multiple languages. You can discover more about this book, download source code, and find support forums at the book's companion site, at www.iphonedevbook.com.The iPhone 3 update to the best-selling and most recommended book for iPhone developers Packed full of tricks, techniques, and enthusiasm for the new SDK from a developer perspective The most complete, useful, and up-to-date guide to all things having to do with Apple's iPhone SDK

    In this richly illustrated study, Jay David Bolter and Richard Grusin offer a theory of mediation for our digital age that challenges this assumption. They argue that new visual media achieve their cultural significance precisely by paying homage to, rivaling, and refashioning such earlier media as perspective painting, photography, film, and television. They call this process of refashioning "remediation," and they note that earlier media have also refashioned one another: photography remediated painting, film remediated stage production and photography, and television remediated film, vaudeville, and radio.

    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.