The Perfect Weapon is the riveting story of how, in less than a decade, cyberwarfare displaced terrorism and nuclear attacks as the greatest threat to American national security. Cheap to acquire, difficult to defend against, and designed to shield their user's identities so as to complicate retaliation, these weapons are capable of an unprecedented range of offensive tactics; they can take us just short of war, allowing for everything from disruption to theft to the cause of widespread damage of essential infrastructure systems. And the vulnerability of those systems has created a related but equally urgent conflict: American companies like Apple and Cisco must claim allegiance to no government in the name of selling secure products around the globe yet the US intelligence agencies want the help of such companies in defending against future cyberattacks. Reported and written with unprecedented access by New York Times chief Washington correspondent and bestselling author David Sanger, The Perfect Weapon takes readers inside war rooms and boardrooms, into the secret cyberdens of American and Chinese military, to give the deep-background story of the increasingly pitched battle between nations, their governments, their cyberwarriors, and their corporations.

    In Turing’s Cathedral, George Dyson focuses on a small group of men and women, led by John von Neumann at the Institute for Advanced Study in Princeton, New Jersey, who built one of the first computers to realize Alan Turing’s vision of a Universal Machine. Their work would break the distinction between numbers that mean things and numbers that do things—and our universe would never be the same. Using five kilobytes of memory (the amount allocated to displaying the cursor on a computer desktop of today), they achieved unprecedented success in both weather prediction and nuclear weapons design, while tackling, in their spare time, problems ranging from the evolution of viruses to the evolution of stars. Dyson’s account, both historic and prophetic, sheds important new light on how the digital universe exploded in the aftermath of World War II. The proliferation of both codes and machines was paralleled by two historic developments: the decoding of self-replicating sequences in biology and the invention of the hydrogen bomb. It’s no coincidence that the most destructive and the most constructive of human inventions appeared at exactly the same time.  How did code take over the world? In retracing how Alan Turing’s one-dimensional model became John von Neumann’s two-dimensional implementation, Turing’s Cathedral offers a series of provocative suggestions as to where the digital universe, now fully three-dimensional, may be heading next.

    He believes that we should investigate what makes some countries more capable than others. Complex products—from films to robots, apps to automobiles—are a physical distillation of an economy’s knowledge, a measurable embodiment of its education, infrastructure, and capability. Economic wealth accrues when applications of this knowledge turn ideas into tangible products; the more complex its products, the more economic growth a country will experience.A radical new interpretation of global economics, Why Information Grows overturns traditional assumptions about the development of economies and the origins of wealth and takes a crucial step toward making economics less the dismal science and more the insightful one.

    It’s already happening in impressive ways. But as we’ve witnessed over the past 20 years, new technology also inevitably raises complex questions and broad societal concerns.” – Brad Smith and Harry Shum on The Future Computed. “As we look to a future powered by a partnership between computers and humans, it’s important that we address these challenges head on. How do we ensure that AI is designed and used responsibly? How do we establish ethical principles to protect people? How should we govern its use? And how will AI impact employment and jobs?” – Brad Smith and Harry Shum on The Future Computed. As Artificial Intelligence shows up in every aspect of our lives, Microsoft's top minds provide a guide discussing how we should prepare for the future. Whether you're a government leader crafting new laws, an entrepreneur looking to incorporate AI into your business, or a parent contemplating the future of education, this book explains the trends driving the AI revolution, identifies the complex ethics and workforce issues we all need to think about and suggests a path forward. Read more: The Future Computed: Artificial Intelligence and its role in society provides Microsoft’s perspective on where AI technology is going and the new societal issues it is raising – ensuring AI is designed and used responsibly, establishing ethical principles to protect people, and how AI will impact employment and jobs. The principles of fairness, reliability and safety, privacy and security, inclusiveness, transparency and accountability are critical to addressing the societal impacts of AI and building trust as AI becomes more and more a part of the products and services that people use at work and at home every day. A central theme in The Future Computed is that for AI to deliver on its potential drive widespread economic and social progress, the technology needs to be human-centered – combining the capabilities of computers with human capabilities to enable people to achieve more. But a human-centered approach can only be realized if researchers, policymakers, and leaders from government, business and civil society come together to develop a shared ethical framework for AI. This in turn will help foster responsible development of AI systems that will engender trust. Because in an increasingly AI-driven world the question is not what computers can do, it is what computers should do. The Future Computed also draws a few conclusions as we chart our path forward. First, the companies and countries that will fare best in the AI era will be those that embrace these changes rapidly and effectively. Second, while AI will help solve big societal problems, we must look to this future with a critical eye as there will be challenges as well as opportunities. Third, we need to act with a sense of shared responsibility because AI won’t be created by the tech sector alone. Finally, skilling-up for an AI-powered world involves more than science, technology, engineering and math. As computers behave more like humans, the social sciences and humanities will become grow in importance.

    A veteran of Barack Obama's 2008 campaign, Kaiser's goal was to utilize data for humanitarian purposes, most notably to prevent genocide and human rights abuses. But her experience inside Cambridge Analytica opened her eyes to the tremendous risks that this unregulated industry poses to privacy and democracy.Targeted is Kaiser's eyewitness chronicle of the dramatic and disturbing story of the rise and fall of Cambridge Analytica. She reveals to the public how Facebook's lax policies and lack of sufficient national laws allowed voters to be manipulated in both Britain and the United States, where personal data was weaponized to spread fake news and racist messaging during the Brexit vote and the 2016 election. But the damage isn't done Kaiser warns; the 2020 election can be compromised as well if we continue to do nothing.In the aftermath of the U.S. election, as she became aware of the horrifying reality of what Cambridge Analytica had done in support of Donald Trump, Kaiser made the difficult choice to expose the truth. Risking her career, relationships, and personal safety, she told authorities about the data industry's unethical business practices, eventually testifying before Parliament about the company's Brexit efforts and helping Special Counsel Robert Mueller's investigation into Russian interference in the 2016 election, alongside at least 10 other international investigations.Packed with never-before-publicly-told stories and insights, Targeted goes inside the secretive meetings with Trump campaign personnel and details the promises Cambridge Analytica made to win. Throughout, Kaiser makes the case for regulation, arguing that legal oversight of the data industry is not only justifiable but essential to ensuring the long-term safety of our democracy.

    Explaining why the whole is sometimes smarter than the sum of its parts, Johnson presents surprising examples of feedback, self-organization, and adaptive learning. How does a lively neighborhood evolve out of a disconnected group of shopkeepers, bartenders, and real estate developers? How does a media event take on a life of its own? How will new software programs create an intelligent World Wide Web? In the coming years, the power of self-organization -- coupled with the connective technology of the Internet -- will usher in a revolution every bit as significant as the introduction of electricity. Provocative and engaging, Emergence puts you on the front lines of this exciting upheaval in science and thought.

    To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.

    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    How To is a guide to the third kind of approach. It's full of highly impractical advice for everything from landing a plane to digging a hole.Bestselling author and cartoonist Randall Munroe explains how to predict the weather by analyzing the pixels of your Facebook photos. He teaches you how to tell if you're a baby boomer or a 90's kid by measuring the radioactivity of your teeth. He offers tips for taking a selfie with a telescope, crossing a river by boiling it, and powering your house by destroying the fabric of space-time. And if you want to get rid of the book once you're done with it, he walks you through your options for proper disposal, including dissolving it in the ocean, converting it to a vapor, using tectonic plates to subduct it into the Earth's mantle, or launching it into the Sun.By exploring the most complicated ways to do simple tasks, Munroe doesn't just make things difficult for himself and his readers. As he did so brilliantly in What If?, Munroe invites us to explore the most absurd reaches of the possible. Full of clever infographics and amusing illustrations, How To is a delightfully mind-bending way to better understand the science and technology underlying the things we do every day.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    Airbnb. Amazon. Apple. PayPal. All of these companies disrupted their markets when they launched. Today they are industry leaders. What’s the secret to their success?These cutting-edge businesses are built on platforms: two-sided markets that are revolutionizing the way we do business. Written by three of the most sought-after experts on platform businesses, Platform Revolution is the first authoritative, fact-based book on platform models. Whether platforms are connecting sellers and buyers, hosts and visitors, or drivers with people who need a ride, Geoffrey G. Parker, Marshall W. Van Alstyne, and Sangeet Paul Choudary reveal the what, how, and why of this revolution and provide the first “owner’s manual” for creating a successful platform business.Platform Revolution teaches newcomers how to start and run a successful platform business, explaining ways to identify prime markets and monetize networks. Addressing current business leaders, the authors reveal strategies behind some of today’s up-and-coming platforms, such as Tinder and SkillShare, and explain how traditional companies can adapt in a changing marketplace. The authors also cover essential issues concerning security, regulation, and consumer trust, while examining markets that may be ripe for a platform revolution, including healthcare, education, and energy.As digital networks increase in ubiquity, businesses that do a better job of harnessing the power of the platform will win. An indispensable guide, Platform Revolution charts out the brilliant future of platforms and reveals how they will irrevocably alter the lives and careers of millions.

    But this book is different from all the others.Becoming Steve Jobs takes on and breaks down the existing myth and stereotypes about Steve Jobs. The conventional, one-dimensional view of Jobs is that he was half-genius, half-jerk from youth, an irascible and selfish leader who slighted friends and family alike. Becoming Steve Jobs answers the central question about the life and career of the Apple cofounder and CEO: How did a young man so reckless and arrogant that he was exiled from the company he founded become the most effective visionary business leader of our time, ultimately transforming the daily life of billions of people?Drawing on incredible and sometimes exclusive access, Schlender and Tetzeli tell a different story of a real human being who wrestled with his failings and learned to maximize his strengths over time. Their rich, compelling narrative is filled with stories never told before from the people who knew Jobs best, and who decided to open up to the authors, including his family, former inner circle executives, and top people at Apple, Pixar and Disney, most notably Tim Cook, Jony Ive, Eddy Cue, Ed Catmull, John Lasseter, Robert Iger and many others. In addition, Brent knew Jobs personally for 25 years and draws upon his many interviews with him, on and off the record, in writing the book. He and Rick humanize the man and explain, rather than simply describe, his behavior. Along the way, the book provides rich context about the technology revolution we all have lived through, and the ways in which Jobs changed our world.Schlender and Tetzeli make clear that Jobs's astounding success at Apple was far more complicated than simply picking the right products: he became more patient, he learned to trust his inner circle, and discovered the importance of growing the company incrementally rather than only shooting for dazzling game-changing products.A rich and revealing account that will change the way we view Jobs, Becoming Steve Jobs shows us how one of the most colorful and compelling figures of our times was able to combine his unchanging, relentless passion with a more mature management style to create one of the most valuable and beloved companies on the planet.

    Developing technology promises closeness. Sometimes it delivers, but much of our modern life leaves us less connected with people and more connected to simulations of them.In Alone Together, MIT technology and society professor Sherry Turkle explores the power of our new tools and toys to dramatically alter our social lives. It’s a nuanced exploration of what we are looking for—and sacrificing—in a world of electronic companions and social networking tools, and an argument that, despite the hand-waving of today’s self-described prophets of the future, it will be the next generation who will chart the path between isolation and connectivity.

    By “reverse engineering the fastest growing company in the history of the world,” author Jeff Jarvis, proprietor of Buzzmachine.com, one of the Web’s most widely respected media blogs, offers indispensible strategies for solving the toughest new problems facing businesses today. With a new afterword from the author, What Would Google Do? is the business book that every leader or potential leader in every industry must read.

    When technology enables people from around the world to be a virtual presence in any given office, globotics will disrupt the lives of millions of skilled workers much faster than automation, industrialization and globalization disrupted lives in previous centuries. What measures will people and governments take in response to such a tectonic economic and cultural shift? How do we avoid the prospect of undermining the very foundations of prosperity?Whilst the changes are now inevitable, there are strategies that humanity can use to adapt to this new world, employing the indispensable skills that no machine can copy: creativity and independent thought. The Globotics Upheaval will help each of us prepare for the oncoming wave of the advanced robotic workforce.