Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines.The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness.In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways.Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.

    At under 200 pages it's quick reading too. Makes a great airplane book.

    Dozens of examples in innumeracy show us how it affects not only personal economics and travel plans, but explains mis-chosen mates, inappropriate drug-testing, and the allure of pseudo-science.

    We think we're making smart, rational choices. But are we?In a series of illuminating, often surprising experiments, MIT behavioral economist Dan Ariely refutes the common assumption that we behave in fundamentally rational ways. Blending everyday experience with groundbreaking research, Ariely explains how expectations, emotions, social norms, and other invisible, seemingly illogical forces skew our reasoning abilities.Not only do we make astonishingly simple mistakes every day, but we make the same "types" of mistakes, Ariely discovers. We consistently overpay, underestimate, and procrastinate. We fail to understand the profound effects of our emotions on what we want, and we overvalue what we already own. Yet these misguided behaviors are neither random nor senseless. They're systematic and predictable--making us "predictably" irrational.From drinking coffee to losing weight, from buying a car to choosing a romantic partner, Ariely explains how to break through these systematic patterns of thought to make better decisions. "Predictably Irrational" will change the way we interact with the world--one small decision at a time.

    This book teaches you how to conduct examinations by explaining what digital forensics is, the methodologies used, key technical concepts and the tools needed to perform examinations. Details on digital forensics for computers, networks, cell phones, GPS, the cloud, and Internet are discussed. Readers will also learn how to collect evidence, document the scene, and recover deleted data. This is the only resource your students need to get a jump-start into digital forensics investigations.This book is organized into 11 chapters. After an introduction to the basics of digital forensics, the book proceeds with a discussion of key technical concepts. Succeeding chapters cover labs and tools; collecting evidence; Windows system artifacts; anti-forensics; Internet and email; network forensics; and mobile device forensics. The book concludes by outlining challenges and concerns associated with digital forensics. PowerPoint lecture slides are also available.This book will be a valuable resource for entry-level digital forensics professionals as well as those in complimentary fields including law enforcement, legal, and general information security.

    Medium's first full-length novel, accessible exclusively on Medium website or app."Something is fishy at Anahata—and it’s not just the giant squid that serves as a mascot for the world’s largest tech company. A prince in exile is working as a product manager. The sales guys are battling with the engineers. The female employees are the unwitting subjects of a wild social experiment. The VPs are plotting against each other. And the yoga-loving, sex-obsessed CEO is rumored to be planning a moon colony, sending his investors into a tizzy. Is it all downhill from here? Or is this just the beginning of a bold new phase in Anahata’s quest for global domination?"

    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.

    There are many positive ways in which the Internet has contributed to the world, but as a society we are less aware of the Internet’s deeply negative effects on our psychology, economy, and culture. In The Internet Is Not the Answer, Andrew Keen, a twenty-year veteran of the tech industry, traces the technological and economic history of the internet from its founding in the 1960s through the rise of the big data companies to the increasing attempts to monetize almost every human activity, and investigates how the internet is reconfiguring our world—often at great cost. In this sharp, witty narrative, informed by the work of other writers, academics, and reporters, as well as his own wide-ranging research and interviews, Keen shows us the tech world, warts and all, and investigates what we can do to make sure the choices we make about the reconfiguring of our society do not lead to unpleasant unforeseen aftershocks.

    Robots are becoming increasingly dextrous, flexible, and safe to be around (except the military ones!).  It is our most powerful technology, and you need to understand it. This new book from best-selling AI writer Calum Chace argues that within a few decades, most humans will not be able to work for money.  Self-driving cars will probably be the canary in the coal mine, providing a wake-up call for everyone who isn’t yet paying attention. All jobs will be affected, from fast food McJobs to lawyers and journalists. This is the single most important development facing humanity in the first half of the 21st century. The fashionable belief that Universal Basic Income is the solution is only partly correct.  We are probably going to need an entirely new economic system, and we better start planning soon - for the Economic Singularity! The outcome can be very good – a world in which machines do all the boring jobs and humans do pretty much what they please. But there are major risks, which we can only avoid by being alert to the possible futures and planning how to avoid the negative ones.

    Why We Buy is based on hard data gleaned from thousands of hours of field research–in shopping malls, department stores, and supermarkets across America. With his team of sleuths tracking our every move, Paco Underhill lays bare the struggle among merchants, marketers, and increasingly knowledgeable consumers for control.

    The world has become a law enforcer's nightmare and every criminal's dream. We bank online; shop online; date, learn, work and live online. But have the institutions that keep us safe on the streets learned to protect us in the burgeoning digital world? Have we become complacent about our personal security--sharing our thoughts, beliefs and the details of our daily lives with anyone who might care to relieve us of them?In this fascinating and compelling book, Misha Glenny, author of the international best seller "McMafia," explores the three fundamental threats facing us in the twenty-first century: cybercrime, cyberwarfare and cyberindustrial espionage. Governments and the private sector are losing billions of dollars each year fighting an ever-morphing, often invisible and often supersmart new breed of criminal: the hacker. Glenny has traveled and trawled the world. By exploring the rise and fall of the criminal website DarkMarket he has uncovered the most vivid, alarming and illuminating stories. Whether JiLsi or Matrix, Iceman, Master Splynter or Lord Cyric; whether Detective Sergeant Chris Dawson in Scunthorpe, England, or Agent Keith Mularski in Pittsburgh, Pennsylvania, Glenny has tracked down and interviewed all the players--the criminals, the geeks, the police, the security experts and the victims--and he places everyone and everything in a rich brew of politics, economics and history.The result is simply unputdownable. DarkMarket is authoritative and completely engrossing. It's a must-read for everyone who uses a computer: the essential crime book for our times.

    Just over fifteen years later, he had transformed himself into the charismatic CEO of a company worth $47 billion--at least on paper. With his long hair and feel-good mantras, the 6-foot-five Neumann, who grew up in part on a kibbutz, looked the part of a messianic Silicon Valley entrepreneur. The vision he offered was mesmerizing: a radical reimagining of work space for a new generation, with its fluid jobs and lax office culture. He called it WeWork. Though the company was merely subleasing amenity-filled office space to freelancers and small startups, Neumann marketed it like a revolutionary product--and investors swooned.As billions of funding dollars poured in, Neumann's ambitions grew limitless. WeWork wasn't just an office space provider, he boasted. It would build schools, create WeWork cities, even colonize Mars. Could he, Neumann wondered from the ice bath he'd installed in his office, become the first trillionaire or a world leader? In pursuit of its founder's grandiose vision, the company spent money faster than it could bring it in. From his private jet, sometimes clouded with marijuana smoke, the CEO scoured the globe for more capital. In late 2019, just weeks before WeWork's highly publicized IPO, a Hail Mary effort to raise cash, everything fell apart. Neumann was ousted from his company--but still was poised to walk away a billionaire.Calling to mind the recent demise of Theranos and the hubris of the dotcom era bust, WeWork's extraordinary rise and staggering implosion were fueled by disparate characters in a financial system blind to its risks, from a Japanese billionaire with designs on becoming the Warren Buffet of tech, to leaders at JPMorgan and Goldman Sachs who seemed intoxicated by a Silicon Valley culture where sensible business models lost out to youthful CEOs who promised disruption. Why did some of the biggest names in banking and venture capital buy the hype? And what does the future hold for Silicon Valley unicorns? Wall Street Journal reporters Eliot Brown and Maureen Farrell explore these questions in this definitive account of WeWork's unraveling.

    By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.

    Computers in Bangalore are locked away in dusty cabinets because teachers don't know what to do with them. Mobile phone apps meant to spread hygiene practices in Africa fail to improve health. Executives in Silicon Valley evangelize novel technologies at work even as they send their children to Waldorf schools that ban electronics. And four decades of incredible innovation in America have done nothing to turn the tide of rising poverty and inequality. Why then do we keep hoping that technology will solve our greatest social ills? In this incisive book, Toyama cures us of the manic rhetoric of digital utopians and reinvigorates us with a deeply people-centric view of social change. Contrasting the outlandish claims of tech zealots with stories of people like Patrick Awuah, a Microsoft millionaire who left his engineering job to open Ghana's first liberal arts university, and Tara Sreenivasa, a graduate of a remarkable South Indian school that takes impoverished children into the high-tech offices of Goldman Sachs and Mercedes-Benz, Geek Heresy is a heartwarming reminder that it's human wisdom, not machines, that move our world forward.

    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.