For centuries, such fears have been misplaced, and many economists maintain that they remain so today. But as Daniel Susskind demonstrates, this time really is different. Breakthroughs in artificial intelligence mean that all kinds of jobs are increasingly at risk.Drawing on almost a decade of research in the field, Susskind argues that machines no longer need to think like us in order to outperform us, as was once widely believed. As a result, more and more tasks that used to be far beyond the capability of computers – from diagnosing illnesses to drafting legal contracts, from writing news reports to composing music – are coming within their reach. The threat of technological unemployment is now real.This is not necessarily a bad thing, Susskind emphasizes. Technological progress could bring about unprecedented prosperity, solving one of humanity’s oldest problems: how to make sure that everyone has enough to live on. The challenges will be to distribute this prosperity fairly, to constrain the burgeoning power of Big Tech, and to provide meaning in a world where work is no longer the center of our lives. Perceptive, pragmatic, and ultimately hopeful, A World Without Work shows the way.

    America faced a troubling question: What happened? How was this epidemic allowed to spread so far before it was taken seriously? In answering these questions, Shilts weaves the disparate threads into a coherent story, pinning down every evasion and contradiction at the highest levels of the medical, political, and media establishments. Shilts shows that the epidemic spread wildly because the federal government put budget ahead of the nation's welfare; health authorities placed political expediency before the public health; and scientists were often more concerned with international prestige than saving lives. Against this backdrop, Shilts tells the heroic stories of individuals in science and politics, public health and the gay community, who struggled to alert the nation to the enormity of the danger it faced. And the Band Played On is both a tribute to these heroic people and a stinging indictment of the institutions that failed the nation so badly.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    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.

    The coming Augmented Age, however, promises a level of disruption, behavioral shifts and changes that are unparalleled. While consumers today are camping outside of an Apple store waiting to be one of the first to score a new Apple Watch or iPhone, the next generation of wearables will be able to predict if we re likely to have a heart attack and recommend a course of action. We watch news of Google s self-driving cars, but don t likely realize this means progressive cities will have to ban human drives in the next decade because us humans are too risky. Following on from the Industrial or Machine Age, the Space Age and the Digital Age, the Augmented Age will be based on four key disruptive themes Artificial Intelligence, Experience Design, Smart Infrastructure, and Health Tech. Historically the previous ages brought significant disruption and changes, but on a net basis jobs were created, wealth was enhanced, and the health and security of society improved. What will the Augmented Age bring? Will robots take our jobs, and AI s subsume us as inferior intelligences, or will this usher in a new age of abundance? Augmented is a book on future history, but more than that, it is a story about how you will live your life in a world that will change more in the next 20 years than it has in the last 250 years. Are you ready to adapt? Because if history proves anything, you don't have much of a choice."

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others, to work as they did in the 20th century.The Future of the Professions explains how 'increasingly capable systems' -- from telepresence to artificial intelligence -- will bring fundamental change in the way that the 'practical expertise' of specialists is made available in society.The authors challenge the 'grand bargain' -- the arrangement that grants various monopolies to today's professionals. They argue that our current professions are antiquated, opaque and no longer affordable, and that the expertise of their best is enjoyed only by a few. In their place, they propose six new models for producing and distributing expertise in society.The book raises important practical and moral questions. In an era when machines can out-perform human beings at most tasks, what are the prospects for employment, who should own and control online expertise, and what tasks should be reserved exclusively for people?Based on the authors' in-depth research of more than ten professions, and illustrated by numerous examples from each, this is the first book to assess and question the relevance of the professions in the 21st century.

    In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to:Split problems into discrete components to make them easier to solve Make the most of code reuse with functions, classes, and libraries Pick the perfect data structure for a particular job Master more advanced programming tools like recursion and dynamic memory Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.

    A natural overachiever, Collins' success, in college and medical school led to a surgical residency at one of the most respected medical centers in the world, the famed Mayo Clinic. But compared to his fellow residents Collins feels inadequate and unprepared. All too soon, the euphoria of beginning his career as an orthopedic resident gives way to the feeling he is a counterfeit, an imposter who has infiltrated a society of brilliant surgeons.This story of Collins' four-year surgical residency traces his rise from an eager but clueless first-year resident to accomplished Chief Resident in his final year. With unparalleled humor, he recounts the disparity between people's perceptions of a doctor's glamorous life and the real thing: a succession of run down cars that are towed to the junk yard, long weekends moonlighting at rural hospitals, a family that grows larger every year, and a laughable income.Collins' good nature helps him over some of the rough spots but cannot spare him the harsh reality of a doctor's life. Every day he is confronted with decisions that will change people's lives-or end them-forever. A young boy's leg is mangled by a tractor: risk the boy's life to save his leg, or amputate immediately? A woman diagnosed with bone cancer injures her hip: go through a painful hip operation even though she has only months to live? Like a jolt to the system, he is faced with the reality of suffering and death as he struggles to reconcile his idealism and aspiration to heal with the recognition of his own limitations and imperfections.Unflinching and deeply engaging, Hot Lights, Cold Steel is a humane and passionate reminder that doctors are people too. This is a gripping memoir, at times devastating, others triumphant, but always compulsively readable.

    Real rationality, of the sort studied by psychologists, social scientists, and mathematicians. The kind of rationality where you make good decisions, even when it's hard; where you reason well, even in the face of massive uncertainty; where you recognize and make full use of your fuzzy intuitions and emotions, rather than trying to discard them. In "Rationality: From AI to Zombies," Eliezer Yudkowsky explains the science underlying human irrationality with a mix of fables, argumentative essays, and personal vignettes. These eye-opening accounts of how the mind works (and how, all too often, it doesn't!) are then put to the test through some genuinely difficult puzzles: computer scientists' debates about the future of artificial intelligence (AI), physicists' debates about the relationship between the quantum and classical worlds, philosophers' debates about the metaphysics of zombies and the nature of morality, and many more. In the process, "Rationality: From AI to Zombies" delves into the human significance of correct reasoning more deeply than you'll find in any conventional textbook on cognitive science or philosophy of mind. A decision theorist and researcher at the Machine Intelligence Research Institute, Yudkowsky published earlier drafts of his writings to the websites Overcoming Bias and Less Wrong. "Rationality: From AI to Zombies" compiles six volumes of Yudkowsky's essays into a single electronic tome. Collectively, these sequences of linked essays serve as a rich and lively introduction to the science—and the art—of human rationality.

    Kandel investigates The Disordered Mind to uncover what brain disorders reveal about human nature. This challenging study will not only help transform medical care but also encourage a new humanism based in part on the biological confirmation of individuality.Eric R. Kandel, the winner of the Nobel Prize in Physiology or Medicine for his foundational research into memory storage in the brain, is one of the pioneers of modern brain science. His work has helped shape our understanding of how learning and memory work. Building from this scientific research, Kandel explores one of the most fundamental questions we face: How does our mind, our individual sense of self, arise from the physical matter of the brain? The brain’s 86 billion neurons communicate with one another through very precise connections. If those connections are disrupted, the brain processes that give rise to our mind can become disordered, resulting in diseases such as depression, schizophrenia, Parkinson’s, and autism.The Disordered Mind illustrates how breakthrough studies of these disruptions can deepen our understanding of thought, feeling, behavior, memory, and creativity, and perhaps in the future will lead to the development of a unified theory of mind.

    More then seven thousand robotic systems are now in Iraq. Pilots in Nevada are remotely killing terrorists in Afghanistan. Scientists are debating just how smart - and how lethal - to make their current robotic prototypes. And many of the most renowned science fiction authors are secretly consulting for the Pentagon on the next generation.Blending historic evidence with interviews from the field, Singer vividly shows that as these technologies multiply, they will have profound effects on the front lines as well as on the politics back home. Moving humans off the battlefield makes wars easier to start, but more complex to fight. Replacing men with machines may save some lives, but will lower the morale and psychological barriers to killing. The "warrior ethos", which has long defined soldiers' identity, will erode, as will the laws of war that have governed military conflict for generations.While his analysis is unnerving, there's an irresistible gee-whiz quality to the innovations Singer uncovers. Wired for War travels from Iraq to see these robots in combat to the latter-day "skunk works" in America's suburbia, where tomorrow's technologies of war are quietly being designed. In Singer's hands, the future of war is as fascinating as it is frightening.

    This was the world of medicine when Thomas Dent Mütter began his trailblazing career as a plastic surgeon in Philadelphia during the middle of the nineteenth century.Although he died at just forty-eight, Mütter was an audacious medical innovator who pioneered the use of ether as anesthesia, the sterilization of surgical tools, and a compassion-based vision for helping the severely deformed, which clashed spectacularly with the sentiments of his time.   Brilliant, outspoken, and brazenly handsome, Mütter was flamboyant in every aspect of his life. He wore pink silk suits to perform surgery, added an umlaut to his last name just because he could, and amassed an immense collection of medical oddities that would later form the basis of Philadelphia’s Mütter Museum. Cristin O’Keefe Aptowicz chronicles how Mütter’s efforts helped establish Philadelphia as a global mecca for medical innovation—despite intense resistance from his numerous rivals.

    How many of us understand the way seizures affect the brain, how the heart is connected to wellbeing, or the why the foot carries the key to our humanity? In Adventures in Human Being, award-winning author Gavin Francis leads readers on a journey into the hidden pathways of the human body, offering a guide to its inner workings and a celebration of its marvels.Drawing on his experiences as a surgeon, ER specialist, and family physician, Francis blends stories from the clinic with episodes from medical history, philosophy, and literature to describe the body in sickness and in health, in living and in dying. At its heart, Adventures in Human Being is a meditation on what it means to be human. Poetic, eloquent, and profoundly perceptive, this book will transform the way you view your body.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.