In this virtuosic work of popular science, neuroscientist and best-selling author Dean Buonomano investigates the intricate relationship between the brain and time: What is time? Why does time seem to speed up or slow down? Is our sense that time flows an illusion? Buonomano presents his own influential theory of how the brain tells time, and he illuminates such concepts as free will, consciousness, spacetime, and relativity from the perspective of a neuroscientist. Drawing on physics, evolutionary biology, and philosophy, Your Brain Is a Time Machine reveals that the brain’s ultimate purpose may be to predict the future, and thus that your brain is a time machine.

    Full discussions of fighter aircraft and weapons systems performance are provided along with an explanation of radar intercept tactics and an analysis of the elements involved in the performance of fighter missions.

    If we started off with rudimentary utterances on the level of "man throw spear," how did we end up with sophisticated grammars, enormous vocabularies, and intricately nuanced degrees of meaning?Drawing on recent groundbreaking discoveries in modern linguistics, Deutscher exposes the elusive forces of creation at work in human communication, giving us fresh insight into how language emerges, evolves, and decays. He traces the evolution of linguistic complexity from an early "Me Tarzan" stage to such elaborate single-word constructions as the Turkish sehirlilestiremediklerimizdensiniz ("you are one of those whom we couldn't turn into a town dweller"). Arguing that destruction and creation in language are intimately entwined, Deutscher shows how these processes are continuously in operation, generating new words, new structures, and new meanings.

    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.

    Packed with full-color illustrations and case studies, this new edition offers a cutting-edge presentation of criminalistics and related laboratory subjects, including new chapters on forensic nursing and forensic entomology/botany. Written by highly respected experts, the book covers the very latest theories and practices in areas such as DNA testing, crime reconstruction, toxicology, chemistry of explosives and arson, and vehicle reconstruction. Also included are an instructor's manual and laboratory exercise manual.

    Armstrong become the first person to step on the surface of another heavenly body. Perhaps no words in human history became better known than those few he uttered at that historic moment. In a penetrating exploration of American hero worship, Hansen addresses the complex legacy of the First Man, as an astronaut and an individual.

    In his most important work, The General Theory of Employment, Interest, and Money (1936), Keynes critiqued the laissez-faire policies of his day, particularly the proposition that a normally functioning market economy would bring full employment. Keynes's forward-looking work transformed economics from merely a descriptive and analytic discipline into one that is policy oriented. For Keynes, enlightened government intervention in a nation's economic life was essential to curbing what he saw as the inherent inequalities and instabilities of unregulated capitalism.

    This book tackles such questions head-on.   The authors begin with the great economist John Maynard Keynes. In 1930 Keynes predicted that, within a century, per capita income would steadily rise, people’s basic needs would be met, and no one would have to work more than fifteen hours a week. Clearly, he was wrong: though income has increased as he envisioned, our wants have seemingly gone unsatisfied, and we continue to work long hours.   The Skidelskys explain why Keynes was mistaken. Then, arguing from the premise that economics is a moral science, they trace the concept of the good life from Aristotle to the present and show how our lives over the last half century have strayed from that ideal. Finally, they issue a call to think anew about what really matters in our lives and how to attain it.   How Much Is Enough? is that rarity, a work of deep intelligence and ethical commitment accessible to all readers. It will be lauded, debated, cited, and criticized. It will not be ignored.

    But until now, we have known only half the story. With the end of the cold war, decades of secrets have been exposed, bringing with them a remarkable opportunity: the unmasking of the true heroes and villains behind one of the most exciting races in history.At the center of this exhilarating, fast-paced account are Wernher von Braun, the camera-friendly former Nazi scientist who led the American rocket design team, and Sergei Korolev, the chief Soviet designer and former political prisoner whose identity was a closely guarded state secret. These rivals were opposite in every way, save for one: each was obsessed by the idea of launching a man to the Moon. Korolev told his wife, "In every century men were looking into the sky and dreaming. And now I'm close to the greatest dream of mankind."In attempting to fulfill this dream, Korolev was initially hampered by a budget so small that his engineers were forced to repurpose cardboard boxes as drafting tables. Von Braun, meanwhile, was eventually granted almost limitless access to funds by an American government panicked at the thought that their cold war enemy might take the lead in the exploration of space. Korolev, whose family life was destroyed by his long sentence in the Gulag, was constantly aware that any false move would finish his career or even his life. His rival, on the other hand, enjoyed remarkable celebrity in America and was even the subject of a 1960 biopic.In this extraordinary book, Deborah Cadbury combines sheeradventure and nail-biting suspense with a moving portrayal of the space race's human dimension. Using source materials never before seen, she reveals that the essential story of the cold war is a mind-bending voyage beyond the bounds of the Earth, one marked by espionage, ambition, ingenuity, and passion.

    How would these people feel when their prophecy remained unfulfilled? Would they admit the error of their prediction, or would they readjust their reality to make sense of the new circumstances?"We've all experienced the futility of trying to change a strong conviction, especially if the convinced person has some investment in his belief. We're familiar with the variety of ingenious defenses with which people protect their convictions, managing to keep them unscathed thru the most devastating attacks. But human resourcefulness goes beyond simply protecting a belief. Suppose an individual believes something with a whole heart; suppose further a commitment to this belief, suppose irrevocable actions have been taken because of it; finally, suppose evidence, unequivocal and undeniable evidence, that the belief is wrong: what will happen? The individual will frequently emerge, not only unshaken, but even more convinced of the truth of such beliefs than ever before. Indeed, s/he may even show a new fervor about convincing and converting others to this view. How and why does such a response to contradictory evidence come about? This is the question on which this book focuses. We hope that, by the end of the volume, we will have provided an adequate answer to the question, an answer documented by data."When Prophecy Fails is a classic text in social psychology authored by L. Festinger, H. Riecken and S. Schachter. It chronicles the experience of a UFO cult that believed the end of the world was at hand. In effect, it's a sociopsychological study of a modern group that predicted the destruction of the world & the adjustments made when the prediction failed to materialize. "The authors have done something as laudable as it is unusual for social psychologists. They espied a fleeting social movement important to a line of research they were interested in and took after it. They recruited a team of observers, joined the movement & watched it from within under great difficulties until its crisis came and went. Their report is of interest as much for the method as for the substance."--Everett C. Hughes, The American Journal of Sociology.

    The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it.In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go.Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

    With deft use of examples of humor and wordplay, Steven Pinker weaves our vast knowledge of language into a compelling story: language is a human instinct, wired into our brains by evolution. The Language Instinct received the William James Book Prize from the American Psychological Association and the Public Interest Award from the Linguistics Society of America. This edition includes an update on advances in the science of language since The Language Instinct was first published.

    Digital technologies—with hardware, software, and networks at their core—will in the near future diagnose diseases more accurately than doctors can, apply enormous data sets to transform retailing, and accomplish many tasks once considered uniquely human.In The Second Machine Age MIT’s Erik Brynjolfsson and Andrew McAfee—two thinkers at the forefront of their field—reveal the forces driving the reinvention of our lives and our economy. As the full impact of digital technologies is felt, we will realize immense bounty in the form of dazzling personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives.Amid this bounty will also be wrenching change. Professions of all kinds—from lawyers to truck drivers—will be forever upended. Companies will be forced to transform or die. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar.Drawing on years of research and up-to-the-minute trends, Brynjolfsson and McAfee identify the best strategies for survival and offer a new path to prosperity. These include revamping education so that it prepares people for the next economy instead of the last one, designing new collaborations that pair brute processing power with human ingenuity, and embracing policies that make sense in a radically transformed landscape.A fundamentally optimistic book, The Second Machine Age alters how we think about issues of technological, societal, and economic progress.

    But Neil Armstrong and Sally Ride would have never made history, and humankind would not have touched the stars, if not for the men and women on the ground who lit the fuse that launched the first rockets.Enthralled as a boy by the exploits of Flash Gordon and the novels of Robert Heinlein and Arthur C. Clarke—who put the science in science fiction—James French became one of the original unsung engineers of America’s groundbreaking space program. His fascinating memoir offers an up-close-and-technical look at building, testing, and perfecting the pioneering Saturn rockets and original lunar landing module, and he shares true tales, both humorous and harrowing, of life—and near death—on the front lines of scientific exploration.If you’ve ever said, “It’s not rocket science,” you’re right. It’s rocket engineering—and here’s your chance to marvel at how it changed the world and made it possible to explore all that lies beyond Earth. James R French graduated from MIT in 1958 with a degree of BSME Specializing in Propulsion. His first job was with Rocketdyne Division of North American Aviation where he worked on developmental testing of H-1 engines and combustion devices hardware for F-1 and J-2 engines used in Saturn 5. Mr. French has also worked at TRW Systems, where he was Lead Development Test Engineer on the Lunar Module Descent Engine, and Jet Propulsion Laboratory where he was Advanced Planetary studies Manager as well as Chief Engineer for the SP-100 Space Nuclear Power System and worked on Mariners 5, 6, 7, 8, and 9; Viking 1 & 2 and Voyager 1 & 2. . In 1986, he helped found American Rocket Co., a commercial launch company.Since 1987, Mr. French has been consultant to a variety of aerospace companies, SDIO, NASA, and USAF. He has participated in various startup companies in the private space flight arena and currently consults extensively to Blue Origin. Mr. French is co-author with Dr. Michael Griffin of the best-selling text Space Vehicle Design, published by AIAA. The second edition of the book has received the Summerfield Book Award for 2008. Mr. French is a Fellow of both AIAA and the British Interplanetary Society and a 50+ year member of AIAA. He has held several Technical Committee and other posts in AIAA. Cover design by Evan Twohy

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa