Who benefits from smart technology? Whose interests are served when we trade our personal data for convenience and connectivity? Smart technology is everywhere: smart umbrellas that light up when rain is in the forecast; smart cars that relieve drivers of the drudgery of driving; smart toothbrushes that send your dental hygiene details to the cloud. Nothing is safe from smartification. In Too Smart, Jathan Sadowski looks at the proliferation of smart stuff in our lives and asks whether the tradeoff—exchanging our personal data for convenience and connectivity—is worth it. Who benefits from smart technology? Sadowski explains how data, once the purview of researchers and policy wonks, has become a form of capital. Smart technology, he argues, is driven by the dual imperatives of digital capitalism: extracting data from, and expanding control over, everything and everybody. He looks at three domains colonized by smart technologies' collection and control systems: the smart self, the smart home, and the smart city. The smart self involves more than self-tracking of steps walked and calories burned; it raises questions about what others do with our data and how they direct our behavior—whether or not we want them to. The smart home collects data about our habits that offer business a window into our domestic spaces. And the smart city, where these systems have space to grow, offers military-grade surveillance capabilities to local authorities. Technology gets smart from our data. We may enjoy the conveniences we get in return (the refrigerator says we're out of milk!), but, Sadowski argues, smart technology advances the interests of corporate technocratic power—and will continue to do so unless we demand oversight and ownership of our data.

Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.

From packing the right equipment to keeping enough gas in the tank to get home, every aspect of making a successful tour with a band is addressed in this comprehensive guide. More than 100 luminaries and leading organizations from the world of touring--among them Chris Connelly, Henry Rollins, the House of Blues, and the Vans Warped Tour, as well as club owners, tour managers, and even sex advisors--provide handy insider know-how along with insight on mistakes commonly made by novice bands. Chapters address the nitty-gritty of touring, with instructions on how to secure venues and publicity, how to stay healthy on the road, and how to keep the budget in the black. Loaded with hundreds of years' worth of collective hands-on experience from those steeped in the music business, this is a must-have resource for creating an unforgettable tour.

The life and times of the Smart Wife--feminized digital assistants who are friendly and sometimes flirty, occasionally glitchy but perpetually available. Meet the Smart Wife--at your service, an eclectic collection of feminized AI, robotic, and smart devices. This digital assistant is friendly and sometimes flirty, docile and efficient, occasionally glitchy but perpetually available. She might go by Siri, or Alexa, or inhabit Google Home. She can keep us company, order groceries, vacuum the floor, turn out the lights. A Japanese digital voice assistant--a virtual anime hologram named Hikari Azuma--sends her "master" helpful messages during the day; an American sexbot named Roxxxy takes on other kinds of household chores. In The Smart Wife, Yolande Strengers and Jenny Kennedy examine the emergence of digital devices that carry out "wifework"--domestic responsibilities that have traditionally fallen to (human) wives. They show that the principal prototype for these virtual helpers--designed in male-dominated industries--is the 1950s housewife: white, middle class, heteronormative, and nurturing, with a spick-and-span home. It's time, they say, to give the Smart Wife a reboot. What's wrong with preferring domestic assistants with feminine personalities? We like our assistants to conform to gender stereotypes--so what? For one thing, Strengers and Kennedy remind us, the design of gendered devices re-inscribes those outdated and unfounded stereotypes. Advanced technology is taking us backwards on gender equity. Strengers and Kennedy offer a Smart Wife "manifesta," proposing a rebooted Smart Wife that would promote a revaluing of femininity in society in all her glorious diversity.

How a computational framework can account for the successes and failures of human cognition At the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory—in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the “stupid” errors of human cognition. Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors. Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition.

Why human skills and expertise, not technical tools, are what make projects succeed. The project is the basic unit of work in many industries. Software applications, antiviral vaccines, launch-ready spacecraft: all were produced by a team and managed as a project. Project management emphasizes control, processes, and tools—but, according to The Smart Mission, that is not the right way to run a project. Human skills and expertise, not technical tools, are what make projects successful. Projects run on knowledge. This paradigm-shifting book—by three project management experts, all of whom have decades of experience at NASA and elsewhere—challenges the conventional wisdom on project management, focusing on the human dimension: learning, collaboration, teaming, communication, and culture. The authors emphasize three themes: projects are fundamentally about how teams work and learn together to get things done; the local level—not an organization’s upper levels—is where the action happens; and projects don’t operate in a vacuum but exist within organizations that are responsible to stakeholders. Drawing on examples and case studies from NASA and other organizations, the authors identify three project models—micro, macro, and global—and their different knowledge needs. Successful organizations have a knowledge-based culture. Successful project management guides the interplay of knowledge, projects, and people.

Take a journey through the USA. Scan QR codes throughout the book to link to unique online content.

A science writer and recreational runner explores the science behind popularly held beliefs about shoes, injuries, nutrition, "runner's high," and more. Conventional wisdom about running is passed down like folklore (and sometimes contradicts itself): the right kind of shoe prevents injury--or running barefoot, like our prehistoric ancestors, is best; eat a high-fat diet--and also carbo load before a race; running cures depression--but it might be addictive; running can save your life--although it can also destroy your knee cartilage. Often it's hard to know what to believe. In Running Smart, Mariska van Sprundel, a science journalist and recreational runner who has had her fair share of injuries, sets out to explore the science behind such claims. In her quest, van Sprundel reviews the latest developments in sports science, consults with a variety of experts, and visits a sports lab to have her running technique analyzed. She learns, among other things, that according to evolutionary biology, humans are perfectly adapted to running long distances (even if our hunter-gatherer forebears suffered plenty of injuries); that running sets off a shockwave that spreads from foot to head, which may or may not be absorbed by cushioned shoes; and that a good sports bra controls the ping pong-like movements of a female runner's breasts. She explains how the body burns fuel, the best foods to eat before and after running, and what might cause "runner's high." More than fifty million Americans are runners (and a slight majority of them are women). This engaging and enlightening book will help both novice and seasoned runners run their smartest.

THE FUTURE OF GAME DESIGN IN THE AGE OF AI: Can games measure intelligence? And how will artificial intelligence inform games of the future? In Playing Smart, Julian Togelius explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how. Games are the past, present, and future of artificial intelligence. In 1948, Alan Turing, one of the founding fathers of computer science and artificial intelligence, handwrote a program for chess. Today we have IBM’s Deep Blue and DeepMind’s AlphaGo, and huge efforts go into developing AI that can play such arcade games as Pac-Man. Programmers continue to use games to test and develop AI, creating new benchmarks for AI while also challenging human assumptions and cognitive abilities. Game design is at heart a cognitive science, Togelius reminds us—when we play or design a game, we plan, think spatially, make predictions, move, and assess ourselves and our performance. By studying how we play and design games, Togelius writes, we can better understand how humans and machines think. AI can do more for game design than providing a skillful opponent. We can harness it to build game-playing and game-designing AI agents, enabling a new generation of AI-augmented games. With AI, we can explore new frontiers in learning and play.

Explains how self-delusion is part of a person's psychological defense system, identifying common misconceptions people have on topics such as caffeine withdrawal, hindsight, and brand loyalty.