Another AI discovered a new antibiotic by analyzing molecular properties human scientists did not understand. Now, AI-powered jets are defeating experienced human pilots in simulated dogfights. AI is coming online in searching, streaming, medicine, education, and many other fields and, in so doing, transforming how humans are experiencing reality.In The Age of AI, three leading thinkers have come together to consider how AI will change our relationships with knowledge, politics, and the societies in which we live. The Age of AI is an essential roadmap to our present and our future, an era unlike any that has come before.

    Users hold the crypto keys to their own money and transact directly with each other, with the help of a P2P network to check for double-spending.https://bitcoin.org/bitcoin.pdf

    Friedman shows that we have entered an age of dizzying acceleration--and explains how to live in it. Due to an exponential increase in computing power, climbers atop Mount Everest enjoy excellent cell-phone service and self-driving cars are taking to the roads. A parallel explosion of economic interdependency has created new riches as well as spiraling debt burdens. Meanwhile, Mother Nature is also seeing dramatic changes as carbon levels rise and species go extinct, with compounding results.How do these changes interact, and how can we cope with them? To get a better purchase on the present, Friedman returns to his Minnesota childhood and sketches a world where politics worked and joining the middle class was an achievable goal. Today, by contrast, it is easier than ever to be a maker (try 3-D printing) or a breaker (the Islamic State excels at using Twitter), but harder than ever to be a leader or merely "average." Friedman concludes that nations and individuals must learn to be fast (innovative and quick to adapt), fair (prepared to help the casualties of change), and slow (adept at shutting out the noise and accessing their deepest values). With vision, authority, and wit, Thank You for Being Late establishes a blueprint for how to think about our times.

    Written in a direct, inviting way by Harry Braverman, whose years as an industrial worker gave him rich personal insight into work, Labor and Monopoly Capital overturned the reigning ideologies of academic sociology.This new edition features an introduction by John Bellamy Foster that sets the work in historical and theoretical context, as well as two rare articles by Braverman, The Degradation of Work in the Twentieth Century (1975) and Two Comments (1976), that add much to our understanding of the book.

    Written in exile, this 'prophetic work' presents, according to the Library of Congress, 'the most lucid and comprehensive history of the origins, structure, and posthumous development of the system of thought that had the greatest impact on the twentieth century'. Kolakowski traces the intellectual foundations of Marxist thought from Plotonius through Lenin, Lukacs, Sartre and Mao. He reveals Marxism to be 'the greatest fantasy of our century ...an idea that began in Promethean humanism and culminated in the monstrous tyranny of Stalinism'. In a brilliant coda, he examines the collapse of international Communism in light of the last tumultuous decades. Main Currents of Marxism remains the indispensable book in its field.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    In this book Ollman offers a thorough analysis of Marx's use of dialectical method.   Marx made extremely creative use of dialectical method to analyze the origins, operation, and direction of capitalism. Unfortunately, his promised book on method was never written, so that readers wishing to understand and evaluate Marx's theories, or to revise or use them, have had to proceed without a clear grasp of the dialectic in which the theories are framed. The result has been more disagreement over "what Marx really meant" than over the writings of any other major thinker.   In putting Marx's philosophy of internal relations and his use of the process of abstraction--two little-studied aspects of dialectics--at the center of this account, Ollman provides a version of Marx's method that is at once systematic, scholarly, clear and eminently useful.   Ollman not only sheds important new light on what Marx really meant in his varied theoretical pronouncements, but in carefully laying out the steps in Marx's method makes it possible for a reader to put the dialectic to work in his or her own research. He also convincingly argues the case for why social scientists and humanists as well as philosophers should want to do so.

    Like Robert Heilbroner's The Worldly Philosophers, it attempts to explain the core ideas of the great economists, beginning with Adam Smith and ending with Joseph Schumpeter. In between are chapters on Thomas Malthus, David Ricardo, Karl Marx, the marginalists, John Maynard Keynes, Friedrich Hayek and Thorstein Veblen. The title expresses Duncan Foley's belief that economics at its most abstract and interesting level is a speculative philosophical discourse, not a deductive or inductive science. Adam's fallacy is the attempt to separate the economic sphere of life, in which the pursuit of self-interest is led by the invisible hand of the market to a socially beneficial outcome, from the rest of social life, in which the pursuit of self-interest is morally problematic and has to be weighed against other ends.

    Among the dominant strains of liberalism, he discerns the counter-currents of more radical positions, lost in the constitution of the modern world order.

    AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions.Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    Conflict between humans and machines is seen as inevitable and its outcome all too predictable.In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.In a 2014 editorial co-authored with Stephen Hawking, Russell wrote, "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last." Solving the problem of control over AI is not just possible; it is the key that unlocks a future of unlimited promise.

    The author, political scientist Timothy Pachirat, was employed undercover for five months in a Great Plains slaughterhouse where 2,500 cattle were killed per day—one every twelve seconds. Working in the cooler as a liver hanger, in the chutes as a cattle driver, and on the kill floor as a food-safety quality-control worker, Pachirat experienced firsthand the realities of the work of killing in modern society. He uses those experiences to explore not only the slaughter industry but also how, as a society, we facilitate violent labor and hide away that which is too repugnant to contemplate.Through his vivid narrative and ethnographic approach, Pachirat brings to life massive, routine killing from the perspective of those who take part in it. He shows how surveillance and sequestration operate within the slaughterhouse and in its interactions with the community at large. He also considers how society is organized to distance and hide uncomfortable realities from view. With much to say about issues ranging from the sociology of violence and modern food production to animal rights and welfare, Every Twelve Seconds is an important and disturbing work.

    The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool.Andrew Guthrie Ferguson reveals how these new technologies --viewed as race-neutral and objective--have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to "turn the page" on racial bias.But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections.In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime.The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens.Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.

    C. Wright Mills examines and critiques the organization of power in the United States, calling attention to three firmly interlocked prongs of power: the military, corporate, andpolitical elite. The Power Elite can be read as a good account of what was taking place in America at the time it was written, but its underlying question of whether America is as democratic in practice as it is in theory continues to matter very much today.What The Power Elite informed readers of in 1956 was how much the organization of power in America had changed during their lifetimes, and Alan Wolfe's astute afterword to this new edition brings us up to date, illustrating how much more has changed since then. Wolfe sorts out what is helpful inMills' book and which of his predictions have not come to bear, laying out the radical changes in American capitalism, from intense global competition and the collapse of communism to rapid technological transformations and ever changing consumer tastes. The Power Elite has stimulated generations ofreaders to think about the kind of society they have and the kind of society they might want, and deserves to be read by every new generation.