Kai-Fu Lee—one of the world’s most respected experts on AI and China—reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace.In AI Superpowers, Kai-Fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee’s opinion, probably not.  But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in human history that are coming soon.

    Robert Gibbons addresses scholars in applied fields within economics who want a serious and thorough discussion of game theory but who may have found other works overly abstract. Gibbons emphasizes the economic applications of the theory at least as much as the pure theory itself; formal arguments about abstract games play a minor role. The applications illustrate the process of model building--of translating an informal description of a multi-person decision situation into a formal game-theoretic problem to be analyzed. Also, the variety of applications shows that similar issues arise in different areas of economics, and that the same game-theoretic tools can be applied in each setting. In order to emphasize the broad potential scope of the theory, conventional applications from industrial organization have been largely replaced by applications from labor, macro, and other applied fields in economics. The book covers four classes of games, and four corresponding notions of equilibrium: static games of complete information and Nash equilibrium, dynamic games of complete information and subgame-perfect Nash equilibrium, static games of incomplete information and Bayesian Nash equilibrium, and dynamic games of incomplete information and perfect Bayesian equilibrium.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    It's the art of anticipating your opponent's next moves, knowing full well that your rival is trying to do the same thing to you. Though parts of game theory involve simple common sense, much is counterintuitive, and it can only be mastered by developing a new way of seeing the world. Using a diverse array of rich case studies—from pop culture, TV, movies, sports, politics, and history—the authors show how nearly every business and personal interaction has a game-theory component to it. Are the winners of reality-TV contests instinctive game theorists? Do big-time investors see things that most people miss? What do great poker players know that you don't? Mastering game theory will make you more successful in business and life, and this lively book is the key to that mastery.

    This book covers the core concepts of operating systems without any unnecessary jargon or text. The authors put you on your way to mastering the fundamental concepts of operating systems while you also prepare for today's emerging developments.Covers the core concepts of operating systems Bypasses unnecessary and wordy text or jargon Encourages you to take your operating system knowledge to the next level Prepares you for today's emerging developments in the field of operating systems Operating Systems Concepts Essentials is a soup-to-nuts guide for all things involving operating systems!

    

    The Fourth Edition of volumes 1 and 2 is concerned with mechanics and E&M/Optics. New features include: expanded coverage of classic physics topics, substantial increases in the number of in-text examples which reinforce text exposition, the latest pedagogical and technical advances in the field, numerical analysis, computer-generated graphics, computer projects and much more.

    This text uses a unified approach based on a single economics model that provides readers with a clear understanding of macroeconomics and its classical and Keynesian assumptions. Introduction: Introduction to Macroeconomics; The Measurement and Structure of the National Economy. Long-Run Economic Performance: Productivity, Output, and Employment; Consumption, Saving, and Investment; Saving and Investment in the Open Economy; Long-Run Economic Growth; The Asset Market, Money, and Prices. Business Cycles and Macroeconomic Policy: Business Cycles; The IS-LM/AD-AS Model: A General Framework for Macroeconomic Analysis; Classical Business Cycle Analysis: Market-Clearing Macroeconomics; Keynesianism: The Macroeconomics of Wage and Price Rigidity. Macroeconomic Policy: Its Environment and Institutions: Unemployment and Inflation; Exchange Rates, Business Cycles, and Macroeconomic Policy in the Open Economy; Monetary Policy and the Federal Reserve System; Government Spending and Its Financing. For all readers interested in intermediate macroeconomics.

    and abroad, this reader-friendly yet authoritative volume bridges the gap between circuits and new electromagnetics material. Ulaby begins coverage with transmission lines, leading readers from familiar concepts into more advanced topics and applications. Includes six new sections on Waveguides and Cavity Resonators, replacing the material on geometric optics in Chapter 8. Presents new Technology Briefs on relevant topics, connecting concepts in the book to everyday applications found in real life, such as liquid crystal displays, the laser, GPS, and x-ray tomography. Includes an interactive CD-ROM that allows readers to gain physical intuition about electromagnetics. A useful reference for engineers.

    The economic narratives that underpinned these eras—the gold standard, the Bretton Woods regime, the "Washington Consensus"—brought great success and great failure. In this eloquent challenge to the reigning wisdom on globalization, Dani Rodrik offers a new narrative, one that embraces an ineluctable tension: we cannot simultaneously pursue democracy, national self-determination, and economic globalization. When the social arrangements of democracies inevitably clash with the international demands of globalization, national priorities should take precedence. Combining history with insight, humor with good-natured critique, Rodrik's case for a customizable globalization supported by a light frame of international rules shows the way to a balanced prosperity as we confront today's global challenges in trade, finance, and labor markets.

    Anchored by six megabanks—Bank of America, JPMorgan Chase, Citigroup, Wells Fargo, Goldman Sachs, and Morgan Stanley—which together control assets amounting, astonishingly, to more than 60 percent of the country’s gross domestic product, these financial institutions (now more emphatically “too big to fail”) continue to hold the global economy hostage, threatening yet another financial meltdown with their excessive risk-taking and toxic “business as usual” practices. How did this come to be—and what is to be done? These are the central concerns of 13 Bankers, a brilliant, historically informed account of our troubled political economy. In 13 Bankers, Simon Johnson—one of the most prominent and frequently cited economists in America (former chief economist of the International Monetary Fund, Professor of Entrepreneurship at MIT, and author of the controversial “The Quiet Coup” in The Atlantic)—and James Kwak give a wide-ranging, meticulous, and bracing account of recent U.S. financial history within the context of previous showdowns between American democracy and Big Finance: from Thomas Jefferson to Andrew Jackson, from Theodore Roosevelt to Franklin Delano Roosevelt. They convincingly show why our future is imperiled by the ideology of finance (finance is good, unregulated finance is better, unfettered finance run amok is best) and by Wall Street’s political control of government policy pertaining to it. As the authors insist, the choice that America faces is stark: whether Washington will accede to the vested interests of an unbridled financial sector that runs up profits in good years and dumps its losses on taxpayers in lean years, or reform through stringent regulation the banking system as first and foremost an engine of economic growth. To restore health and balance to our economy, Johnson and Kwak make a radical yet feasible and focused proposal: reconfigure the megabanks to be “small enough to fail.” Lucid, authoritative, crucial for its timeliness, 13 Bankers is certain to be one of the most discussed and debated books of 2010.

    We need to remember that sustained economic success is a rare phenomenon.As an era of easy money and easy growth comes to a close, China in particular will cool down. Other major players including Brazil, Russia, and India face their own daunting challenges and inflated expectations. The new "breakout nations" will probably spring from the margins, even from the shadows. Ruchir Sharma, one of the world’s largest investors in emerging markets for Morgan Stanley, here identifies which are most likely to leap ahead and why.After two decades spent traveling the globe tracking the progress of developing countries, Sharma has produced a book full of surprises: why the overpriced cocktails in Rio are a sign of revival in Detroit; how the threat of the "population bomb" came to be seen as a competitive advantage; how an industrial revolution in Asia is redefining what manufacturing can do for a modern economy; and how the coming shakeout in the big emerging markets could shift the spotlight back to the West, especially American technology and German manufacturing.What emerges is a clear picture of the shifting balance of global economic power and how it plays out for emerging nations and for the West. In a captivating exploration studded with vignettes, Sharma reveals his rules on how to spot economic success stories. Breakout Nations is a rollicking education for anyone looking to understand where the future will happen.

    In fact it was a dramatic caesura of global significance that spiraled around the world, from the financial markets of the UK and Europe to the factories and dockyards of Asia, the Middle East, and Latin America, forcing a rearrangement of global governance. In the United States and Europe, it caused a fundamental reconsideration of capitalist democracy, eventually leading to the war in the Ukraine, the chaos of Greece, Brexit, and Trump.It was the greatest crisis to have struck Western societies since the end of the Cold War, but was it inevitable? And is it over? Crashed is a dramatic new narrative resting on original themes: the haphazard nature of economic development and the erratic path of debt around the world; the unseen way individual countries and regions are linked together in deeply unequal relationships through financial interdependence, investment, politics, and force; the ways the financial crisis interacted with the spectacular rise of social media, the crisis of middle-class America, the rise of China, and global struggles over fossil fuels.Finally, Tooze asks, given this history, what now are the prospects for a liberal, stable, and coherent world order?

    This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.

    Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.