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.

    "Addiction by Design" takes readers into the intriguing world of machine gambling, an increasingly popular and absorbing form of play that blurs the line between human and machine, compulsion and control, risk and reward.Drawing on fifteen years of field research in Las Vegas, anthropologist Natasha Dow Schull shows how the mechanical rhythm of electronic gambling pulls players into a trancelike state they call the "machine zone," in which daily worries, social demands, and even bodily awareness fade away. Once in the zone, gambling addicts play not to win but simply to keep playing, for as long as possible--even at the cost of physical and economic exhaustion. In continuous machine play, gamblers seek to lose themselves while the gambling industry seeks profit. Schull describes the strategic calculations behind game algorithms and machine ergonomics, casino architecture and "ambience management," player tracking and cash access systems--all designed to meet the market's desire for maximum "time on device." Her account moves from casino floors into gamblers' everyday lives, from gambling industry conventions and Gamblers Anonymous meetings to regulatory debates over whether addiction to gambling machines stems from the consumer, the product, or the interplay between the two."Addiction by Design" is a compelling inquiry into the intensifying traffic between people and machines of chance, offering clues to some of the broader anxieties and predicaments of contemporary life.

    Gigabytes, exabytes (that’s one quintillion bytes) of data are sitting on servers across the world. So how can we start to access this explosion of information, this “big data,” and what can it tell us?   Erez Aiden and Jean-Baptiste Michel are two young scientists at Harvard who started to ask those questions. They teamed up with Google to create the Ngram Viewer, a Web-based tool that can chart words throughout the massive Google Books archive, sifting through billions of words to find fascinating cultural trends. On the day that the Ngram Viewer debuted in 2010, more than one million queries were run through it.   On the front lines of Big Data, Aiden and Michel realized that this big dataset—the Google Books archive that contains remarkable information on the human experience—had huge implications for looking at our shared human history. The tool they developed to delve into the data has enabled researchers to track how our language has evolved over time, how art has been censored, how fame can grow and fade, how nations trend toward war. How we remember and how we forget. And ultimately, how Big Data is changing the game for the sciences, humanities, politics, business, and our culture.

    In the process we've been remarkably incurious about its meaning, significance or cultural implications. Most people have no idea how the network works, nor any conception of its architecture; and few can explain why it has been - and continues to be - so uniquely disruptive in social, economic and cultural contexts. In other words, our society has become dependent on a utility that it doesn't really understand. John Naughton has distilled the noisy chatter surrounding the internet's relentless evolution into nine clear-sighted and accessible areas of understanding. In doing so he affords everyone the requisite knowledge to make better use of the technologies and networks around us, and see lucidly into their future implications. Along the way FROM GUTENBERG TO ZUCKERBERG covers areas as diverse as the science of complexity, the economics of abundance, the appeal of disruption and the problematic nature of intellectual property. FROM GUTENBERG TO ZUCKERBERG gives you all the basic, conceptual equipment you need to understand the Internet phenomenon.

    Today it is damaged, discouraged, and fighting for its future. In Glass House, journalist Brian Alexander uses the story of one town to show how seeds sown 35 years ago have sprouted to give us Trumpism, inequality, and an eroding national cohesion.The Anchor Hocking Glass Company, once the world’s largest maker of glass tableware, was the base on which Lancaster’s society was built. As Glass House unfolds, bankruptcy looms. With access to the company and its leaders, and Lancaster’s citizens, Alexander shows how financial engineering took hold in the 1980s, accelerated in the 21st Century, and wrecked the company. We follow CEO Sam Solomon as he tries to rescue the company from the New York private equity firm that hired him. Meanwhile, Alexander goes behind the scenes, entwined with the lives of residents as they wrestle with heroin, politics, high-interest lenders, low wage jobs, technology, and the new demands of American life: people like Brian Gossett, the fourth generation to work at Anchor Hocking; Joe Piccolo, first-time director of the annual music festival who discovers the town relies on him, and it, for salvation; Jason Roach, who police believed may have been Lancaster’s biggest drug dealer; and Eric Brown, a local football hero-turned-cop who comes to realize that he can never arrest Lancaster’s real problems.

    That source turned out to be the twenty-nine-year-old NSA contractor Edward Snowden, and his revelations about the agency's widespread, systemic overreach proved to be some of the most explosive and consequential news in recent history, triggering a fierce debate over national security and information privacy.Now Greenwald fits all the pieces together, recounting his high-intensity eleven-day trip to Hong Kong, examining the broader implications of the surveillance detailed in his reporting for The Guardian, and revealing fresh information on the NSA's unprecedented abuse of power with documents from the Snowden archive. Fearless and incisive, No Place to Hide has already sparked outrage around the globe and been hailed by voices across the political spectrum as an essential contribution to our understanding of the U.S. surveillance state.

    This change is being driven by powerful new cognitive tools, enabled by the internet, which are greatly accelerating scientific discovery. There are many books about how the internet is changing business or the workplace or government. But this is the first book about something much more fundamental: how the internet is transforming the nature of our collective intelligence and how we understand the world.Reinventing Discovery tells the exciting story of an unprecedented new era of networked science. We learn, for example, how mathematicians in the Polymath Project are spontaneously coming together to collaborate online, tackling and rapidly demolishing previously unsolved problems. We learn how 250,000 amateur astronomers are working together in a project called Galaxy Zoo to understand the large-scale structure of the Universe, and how they are making astonishing discoveries, including an entirely new kind of galaxy. These efforts are just a small part of the larger story told in this book--the story of how scientists are using the internet to dramatically expand our problem-solving ability and increase our combined brainpower.This is a book for anyone who wants to understand how the online world is revolutionizing scientific discovery today--and why the revolution is just beginning.

    The Chickenshit Club—an inside reference to prosecutors too scared of failure and too daunted by legal impediments to do their jobs—explains why in “an absorbing financial history, a monumental work of journalism…a first-rate study of the federal bureaucracy” (Bloomberg Businessweek).Jesse Eisigner begins the story in the 1970s, when the government pioneered the notion that top corporate executives, not just seedy crooks, could commit heinous crimes and go to prison. He brings us to trading desks on Wall Street, to corporate boardrooms and the offices of prosecutors and FBI agents. These revealing looks provide context for the evolution of the Justice Department’s approach to pursuing corporate criminals through the early 2000s and into the Justice Department’s approach to pursuing corporate criminals through the early 2000s and into the Justice Department of today, including the prosecutorial fiascos, corporate lobbying, trial losses, and culture shifts that have stripped the government of the will and ability to prosecute top corporate executives.“Brave and elegant….a fearless reporter…Eisinger’s important and profound book takes no prisoners (The Washington Post). Exposing one of the most important scandals of our time, The Chickenshit Club provides a clear, detailed explanation as to how our Justice Department has come to avoid, bungle, and mismanage the fight to bring these alleged criminals to justice. “This book is a wakeup call…a chilling read, and a needed one” (NPR.org).

    Drawing on research by their team at the Center for Digital Business, they show that there's been no stagnation in technology -- in fact, the digital revolution is accelerating. Recent advances are the stuff of science fiction: computers now drive cars in traffic, translate between human languages effectively, and beat the best human Jeopardy! players.As these examples show, digital technologies are rapidly encroaching on skills that used to belong to humans alone. This phenomenon is both broad and deep, and has profound economic implications. Many of these implications are positive; digital innovation increases productivity, reduces prices (sometimes to zero), and grows the overall economic pie.But digital innovation has also changed how the economic pie is distributed, and here the news is not good for the median worker. As technology races ahead, it can leave many people behind. Workers whose skills have been mastered by computers have less to offer the job market, and see their wages and prospects shrink. Entrepreneurial business models, new organizational structures and different institutions are needed to ensure that the average worker is not left behind by cutting-edge machines.In Race Against the Machine Brynjolfsson and McAfee bring together a range of statistics, examples, and arguments to show that technological progress is accelerating, and that this trend has deep consequences for skills, wages, and jobs. The book makes the case that employment prospects are grim for many today not because there's been technology has stagnated, but instead because we humans and our organizations aren't keeping up.

    The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so--and to set limits on how big data affects our lives.Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior.Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.

    Old-fashioned entrepreneurship combined with scientific know-how inspired now famous computer engineers to create the technology that became IBM. Wartime needs drove the giant ENIAC, the first fully electronic computer. Later, the PC enabled modes of computing that liberated people from room-sized, mainframe computers. This second edition now extends beyond the development of Microsoft Windows and the Internet, to include open source operating systems like Linux, and the rise again and fall and potential rise of the dot.com industries.

    We are increasingly coaxed from the third-dimensional containment of our pre-digital selves into a wonderful and eerie fourth dimension, a world of ceaseless communication, instant information and global connection.Our portals to this new world have been wedged open, and the silhouette of a figure is slowly taking shape. But what does it feel like to be four-dimensional? How do digital technologies influence the rhythms of our thoughts, the style and tilt of our consciousness? What new sensitivities and sensibilities are emerging with our exposure to the delights, sorrows and anxieties of a networked world? And how do we live in public, with these recoded private lives?Tackling ideas of time, space, isolation, silence and threat – how our modern-day anxieties manifest online – and moving from Hamlet to the ghosts of social media, from Seinfeld to the fall of Gaddafi, from Twitter art to Oedipus, The Four-Dimensional Human is a highly original and pioneering portrait of life in a digital landscape.

    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.

    How we address it in the next thirty years will determine the kind of world we will live in and will bequeath to our children and to theirs.In The Future We Choose, Christiana Figueres and Tom Rivett-Carnac--who led negotiations for the United Nations during the historic Paris Agreement of 2015--have written a cautionary but optimistic book about the world's changing climate and the fate of humanity.The authors outline two possible scenarios for our planet. In one, they describe what life on Earth will be like by 2050 if we fail to meet the Paris climate targets. In the other, they lay out what it will be like to live in a carbon neutral, regenerative world. They argue for confronting the climate crisis head-on, with determination and optimism. The Future We Choose presents our options and tells us what governments, corporations, and each of us can and must do to fend off disaster.

    He traces AI's origins in ancient myth, through literary classics like Frankenstein, to today's sci-fi blockbusters, arguing that a fascination with AI is hardwired into the human psyche. He explains AI's history, technology, and potential; its manifestations in intelligent machines; its connections to neurology and consciousness, as well as—perhaps most tellingly—what AI reveals about us as human beings.In Our Own Image argues that we are on the brink of a fourth industrial revolution—poised to enter the age of Artificial Intelligence as science fiction becomes science fact. Ultimately, Zarkadakis observes, the fate of AI has profound implications for the future of science and humanity itself.