A Machine to Make a Future represents a remarkably original look at the present and possible future of biotechnology research in the wake of the mapping of the human genome. The central tenet of Celera Diagnostics--the California biotech company whose formative work during 2003 is the focus of the book--is that the emergent knowledge about the genome, with its profound implications for human health, can now be turned into a powerful diagnostic apparatus--one that will yield breakthrough diagnostic and therapeutic products (and, potentially, profit). Celera's efforts--assuming they succeed--may fundamentally reshape the fabric of how health and health care are understood, practiced, and managed. Presenting a series of interviews with all of the key players in Celera Diagnostics, Paul Rabinow and Talia Dan-Cohen open a fascinating window on the complexity of corporate scientific innovation. This marks a radical departure from other books on the biotech industry by chronicling the vicissitudes of a project during a finite time period, in the words of the actors themselves. Ultimately, the authors conclude, Celera Diagnostics is engaged in a future characterized not by geniuses and their celebrated discoveries but by a largely anonymous and widely distributed profusion of data and results--a "machine to make a future." In their new afterword, Rabinow and Dan-Cohen revisit Celera Diagnostics as its mighty machine grinds along, wondering, along with the scientists, "what constitutes success and what constitutes failure?" The pathos of the situation turns on how one poses the question as much as how one answers it.

This fascinating book opens up a huge number of questions about how social scientists, anthropologists, or science studies practitioners write about science, scientists, technology, and innovation.

How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.

Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all.

For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact. The paperback edition has a new foreword by Rana el Kaliouby, PhD, a pioneer in artificial emotional intelligence, as well as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab.

Will the workplace of the future be overrun by machines and robots? Are the new frontiers of artificial intelligence (AI) on the cusp of dethroning us in efficiency, intelligence and innovative potential? Automation and AI will augment our human world and potential. The winners of the future of work are those that harness the power of machines to their advantage. Human/Machine is the only guide you need to understand the fourth industrial revolution. It sets out a road map to the challenges ahead, but also unlocks the wondrous opportunities that it offers. Human/Machine explores how we will work symbiotically with machines, detailing how institutions, companies, individuals and education providers will evolve to integrate seamlessly with new technologies. With exclusive case studies, this book offers a glimpse into the future and details how top companies are already thriving on this very special relationship. From gamification in job training to project management teams integrated with bots and predictive technologies that fix problems in the supply chain before they happen, the authors deliver a powerful manifesto for the adoption and celebration of automation and AI. In a much more fluid, skills-based economy, we will all need to prove our worth and future-proof our skills base. This book offers a blueprint to avoid being left behind and unearth the opportunities unique to human-machine partnership ecosystems.

Discover the secrets of Doc Brown’s time-traveling DeLorean with the first-ever under-the-hood user’s manual featuring never-before-seen schematics and cutaways of cinema’s most iconic car. One of the best-loved movie sagas of all time, the Back to the Future trilogy has left an indelible impact on popular culture. Back to the Future: DeLorean Time Machine: Owner’s Workshop Manual delves into the secrets of the unique vehicle that transports Marty McFly and Doc Brown through time, including both the original version of the car and the updated flying model. From the DeLorean’s unmistakable gull-wing doors to Doc’s cutting-edge modifications, including the Flux Capacitor and Mr. Fusion, this manual offers unprecedented insight into the car’s inner workings. Filled with exclusive illustrations and never-before-disclosed information, Back to the Future: DeLorean Time Machine: Owner’s Workshop Manual is the perfect gift for the trilogy’s legion of fans.