Targeting American utility companies, NATO, and electric grids in Eastern Europe, the strikes became ever more brazen, eventually leading to the first-ever blackouts triggered by hackers. They culminated in the summer of 2017 when malware known as NotPetya was unleashed, compromising, disrupting, and paralyzing some of the world's largest companies. At the attack's epicenter in Ukraine, ATMs froze. The railway and postal systems shut down. NotPetya spread around the world, inflicting an unprecedented ten billions of dollars in damage--the largest, most penetrating cyberattack the world had ever seen.The hackers behind these attacks are quickly gaining a reputation as the most dangerous team of cyberwarriors in the internet's history: Sandworm. Believed to be working in the service of Russia's military intelligence agency, they represent a persistent, highly skilled, state-sponsored hacking force, one whose talents are matched by their willingness to launch broad, unrestrained attacks on the most critical infrastructure of their adversaries. They target government and private sector, military and civilians alike.From WIRED senior writer Andy Greenberg comes Sandworm, the true story of the desperate hunt to identify and track those attackers. It considers the danger this force poses to our national stability and security. And as the Kremlin's role in manipulating foreign governments and sparking chaos globally comes into greater focus, Sandworm reveals the realities not just of Russia's global digital offensive, but of an era where warfare ceases to be waged on the battlefield--where the line between digital and physical conflict begins to blur, with world-shaking implications.

    The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before.But our love of computers should not cloud our thinking about their limitations.We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are uselessin judging whether the unearthed patterns are sensible because computers do not think the way humans think.We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us.The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

    It has created a new, unprecedented cultural space that we are all a part of—even if we don’t participate, that is how we participate—but by which we’re continually surprised, betrayed, enriched, befuddled. We have churned through platforms and technologies and in turn been churned by them. And yet, the internet is us and always has been.In Lurking, Joanne McNeil digs deep and identifies the primary (if sometimes contradictory) concerns of people online: searching, safety, privacy, identity, community, anonymity, and visibility. She charts what it is that brought people online and what keeps us here even as the social equations of digital life—what we’re made to trade, knowingly or otherwise, for the benefits of the internet—have shifted radically beneath us. It is a story we are accustomed to hearing as tales of entrepreneurs and visionaries and dynamic and powerful corporations, but there is a more profound, intimate story that hasn’t yet been told.Long one of the most incisive, ferociously intelligent, and widely respected cultural critics online, McNeil here establishes a singular vision of who we are now, tells the stories of how we became us, and helps us start to figure out what we do now.

    What if everything in life could be reduced to a simple formula? What if numbers were able to tell us which partners we were best matched with – not just in terms of attractiveness, but for a long-term committed marriage? Or if they could say which films would be the biggest hits at the box office, and what changes could be made to those films to make them even more successful? Or even who out of us is likely to commit certain crimes, and when? This may sound like the world of science-fiction, but in fact it is just the tip of the iceberg in a world that is increasingly ruled by complex algorithms and neural networks.In The Formula, Luke Dormehl takes you inside the world of numbers, asking how we came to believe in the all-conquering power of algorithms; introducing the mathematicians, artificial intelligence experts and Silicon Valley entrepreneurs who are shaping this brave new world, and ultimately asking how we survive in an era where numbers can sometimes seem to create as many problems as they solve.

    Is this self-segregation a problem to address or a coping strategy? Beverly Daniel Tatum, a renowned authority on the psychology of racism, argues that straight talk about our racial identities is essential if we are serious about enabling communication across racial and ethnic divides. These topics have only become more urgent as the national conversation about race is increasingly acrimonious. This fully revised edition is essential reading for anyone seeking to understand the dynamics of race in America.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Indeed, as Tom Standage reveals in his scintillating new book, social media is anything but a new phenomenon.From the papyrus letters that Roman statesmen used to exchange news across the Empire to the advent of hand-printed tracts of the Reformation to the pamphlets that spread propaganda during the American and French revolutions, Standage chronicles the increasingly sophisticated ways people shared information with each other, spontaneously and organically, down the centuries. With the rise of newspapers in the nineteenth century, then radio and television, “mass media” consolidated control of information in the hands of a few moguls. However, the Internet has brought information sharing full circle, and the spreading of news along social networks has reemerged in powerful new ways.A fresh, provocative exploration of social media over two millennia, Writing on the Wall reminds us how modern behavior echoes that of prior centuries-the Catholic Church, for example, faced similar dilemmas in deciding whether or how to respond to Martin Luther's attacks in the early sixteenth century to those that large institutions confront today in responding to public criticism on the Internet. Invoking the likes of Thomas Paine and Vinton Cerf, co-inventor of the Internet, Standage explores themes that have long been debated: the tension between freedom of expression and censorship; whether social media trivializes, coarsens or enhances public discourse; and its role in spurring innovation, enabling self-promotion, and fomenting revolution. As engaging as it is visionary, Writing on the Wall draws on history to cast new light on today's social media and encourages debate and discussion about how we'll communicate in the future.

    Misogyny encompasses the Church, witch hunts, sexual theory, Nazism, pro-life campaigners, and finally, today's developing world, where women are increasingly and disproportionately at risk because of radicalized religious beliefs, famine, war, and disease. Extensively researched, highly readable and provocative, this book chronicles an ancient, pervasive and enduring injustice. The questions it poses deal with the fundamentals of human existence — sex, love, violence — that have shaped the lives of humans throughout history, and ultimately limn an abuse of human rights on a nearly unthinkable scale.

    Based on research in the USA, Asia, Latin America, and Europe, it aims to formulate a systematic theory of the information society which takes account of the fundamental effects of information technology on the contemporary world.

    Guns, which lead to so much death, work exactly as they’re designed to work. And every time we “improve” their design, they get better at killing. Facebook’s privacy settings, which have outed gay teens to their conservative parents, are working exactly as designed. Their “real names” iniative, which makes it easier for stalkers to re-find their victims, is working exactly as designed. Twitter’s toxicity and lack of civil discourse is working exactly as it’s designed to work.The world is working exactly as designed. And it’s not working very well. Which means we need to do a better job of designing it. Design is a craft with an amazing amount of power. The power to choose. The power to influence. As designers, we need to see ourselves as gatekeepers of what we are bringing into the world, and what we choose not to bring into the world. Design is a craft with responsibility. The responsibility to help create a better world for all.Design is also a craft with a lot of blood on its hands. Every cigarette ad is on us. Every gun is on us. Every ballot that a voter cannot understand is on us. Every time social network’s interface allows a stalker to find their victim, that’s on us. The monsters we unleash into the world will carry your name.This book will make you see that design is a political act. What we choose to design is a political act. Who we choose to work for is a political act. Who we choose to work with is a political act. And, most importantly, the people we’ve excluded from these decisions is the biggest (and stupidest) political act we’ve made as a society.If you’re a designer, this book might make you angry. It should make you angry. But it will also give you the tools you need to make better decisions. You will learn how to evaluate the potential benefits and harm of what you’re working on. You’ll learn how to present your concerns. You’ll learn the importance of building and working with diverse teams who can approach problems from multiple points-of-view. You’ll learn how to make a case using data and good storytelling. You’ll learn to say NO in a way that’ll make people listen. But mostly, this book will fill you with the confidence to do the job the way you always wanted to be able to do it. This book will help you understand your responsibilities.

    It imagines passing clouds to be permanent and is blind to powerful, long-term shifts taking place in full view of the world.” —George Friedman In his long-awaited and provocative new book, George Friedman turns his eye on the future—offering a lucid, highly readable forecast of the changes we can expect around the world during the twenty-first century. He explains where and why future wars will erupt (and how they will be fought), which nations will gain and lose economic and political power, and how new technologies and cultural trends will alter the way we live in the new century.The Next 100 Years draws on a fascinating exploration of history and geopolitical patterns dating back hundreds of years. Friedman shows that we are now, for the first time in half a millennium, at the dawn of a new era—with changes in store, including:• The U.S.-Jihadist war will conclude—replaced by a second full-blown cold war with Russia.• China will undergo a major extended internal crisis, and Mexico will emerge as an important world power.• A new global war will unfold toward the middle of the century between the United States and an unexpected coalition from Eastern Europe, Eurasia, and the Far East; but armies will be much smaller and wars will be less deadly.• Technology will focus on space—both for major military uses and for a dramatic new energy resource that will have radical environmental implications.• The United States will experience a Golden Age in the second half of the century.Written with the keen insight and thoughtful analysis that has made George Friedman a renowned expert in geopolitics and forecasting, The Next 100 Years presents a fascinating picture of what lies ahead.For continual, updated analysis and supplemental material, go to www.Stratfor.com

    But armies have developed sophisticated ways of overcoming this instinctive aversion. And contemporary civilian society, particularly the media, replicates the army's conditioning techniques, and, according to Lt. Col. Dave Grossman's thesis, is responsible for our rising rate of murder among the young.Upon its initial publication, On Killing was hailed as a landmark study of the techniques the military uses to overcome the powerful reluctance to kill, of how killing affects soldiers, and of the societal implications of escalating violence. Now, Grossman has updated this classic work to include information on 21st-century military conflicts, recent trends in crime, suicide bombings, school shootings, and more. The result is a work certain to be relevant and important for decades to come.

    Over years of groundbreaking experiments, he has distilled remarkable discoveries significant enough to become the bedrock of a whole new scientific field: social physics. Humans have more in common with bees than we like to admit: We’re social creatures first and foremost. Our most important habits of action—and most basic notions of common sense—are wired into us through our coordination in social groups. Social physics is about idea flow, the way human social networks spread ideas and transform those ideas into behaviors. Thanks to the millions of digital bread crumbs people leave behind via smartphones, GPS devices, and the Internet, the amount of new information we have about human activity is truly profound. Until now, sociologists have depended on limited data sets and surveys that tell us how people say they think and behave, rather than what they actually do. As a result, we’ve been stuck with the same stale social structures—classes, markets—and a focus on individual actors, data snapshots, and steady states. Pentland shows that, in fact, humans respond much more powerfully to social incentives that involve rewarding others and strengthening the ties that bind than incentives that involve only their own economic self-interest. Pentland and his teams have found that they can study patterns of information exchange in a social network without any knowledge of the actual content of the information and predict with stunning accuracy how productive and effective that network is, whether it’s a business or an entire city. We can maximize a group’s collective intelligence to improve performance and use social incentives to create new organizations and guide them through disruptive change in a way that maximizes the good. At every level of interaction, from small groups to large cities, social networks can be tuned to increase exploration and engagement, thus vastly improving idea flow.  Social Physics will change the way we think about how we learn and how our social groups work—and can be made to work better, at every level of society. Pentland leads readers to the edge of the most important revolution in the study of social behavior in a generation, an entirely new way to look at life itself.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    Forget short-term symptoms like Donald Trump and Brexit, it is innovation itself that explains them and that will itself shape the 21st century for good and ill. Yet innovation remains a mysterious process, poorly understood by policy makers and businessmen, hard to summon into existence to order, yet inevitable and inexorable when it does happen.Matt Ridley argues in this book that we need to change the way we think about innovation, to see it as an incremental, bottom-up, fortuitous process that happens to society as a direct result of the human habit of exchange, rather than an orderly, top-down process developing according to a plan. Innovation is crucially different from invention, because it is the turning of inventions into things of practical and affordable use to people. It speeds up in some sectors and slows down in others. It is always a collective, collaborative phenomenon, not a matter of lonely genius. It is gradual, serendipitous, recombinant, inexorable, contagious, experimental and unpredictable. It happens mainly in just a few parts of the world at any one time. It still cannot be modelled properly by economists, but it can easily be discouraged by politicians. Far from there being too much innovation, we may be on the brink of an innovation famine.Ridley derives these and other lessons, not with abstract argument, but from telling the lively stories of scores of innovations, how they started and why they succeeded or in some cases failed. He goes back millions of years and leaps forward into the near future. Some of the innovation stories he tells are about steam engines, jet engines, search engines, airships, coffee, potatoes, vaping, vaccines, cuisine, antibiotics, mosquito nets, turbines, propellers, fertiliser, zero, computers, dogs, farming, fire, genetic engineering, gene editing, container shipping, railways, cars, safety rules, wheeled suitcases, mobile phones, corrugated iron, powered flight, chlorinated water, toilets, vacuum cleaners, shale gas, the telegraph, radio, social media, block chain, the sharing economy, artificial intelligence, fake bomb detectors, phantom games consoles, fraudulent blood tests, faddish diets, hyperloop tubes, herbicides, copyright and even – a biological innovation -- life itself.