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If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought?

An introduction to dimensional analysis, a method of scientific analysis used to investigate and simplify complex physical phenomena, demonstrated through a series of engaging examples.This book offers an introduction to dimensional analysis, a powerful method of scientific analysis used to investigate and simplify complex physical phenomena. The method enables bold approximations and the generation of testable hypotheses. The book explains these analyses through a series of entertaining applications; students will learn to analyze, for example, the limits of world-record weight lifters, the distance an electric submarine can travel, how an upside-down pendulum is similar to a running velociraptor, and the number of Olympic rowers required to double boat speed.The book introduces the approach through easy-to-follow, step-by-step methods that show how to identify the essential variables describing a complex problem; explore the dimensions of the problem and recast it to reduce complexity; leverage physical insights and experimental observations to further reduce complexity; form testable scientific hypotheses; combine experiments and analysis to solve a problem; and collapse and present experimental measurements in a compact form. Each chapter ends with a summary and problems for students to solve. Taken together, the analyses and examples demonstrate the value of dimensional analysis and provide guidance on how to combine and enhance dimensional analysis with physical insights. The book can be used by undergraduate students in physics, engineering, chemistry, biology, sports science, and astronomy.

Experts offer strategies for managing people in technocentric times.

How communities can collaborate across systems and sectors to address environmental health disparities; with case studies from Rochester, New York; Duluth, Minnesota; and Southern California.

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.

Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial intelligence adds a chapter that sorts out the current themes and tools--chaos, adaptive systems, genetic algorithms--for analyzing complexity and complex systems.

A comprehensive overview of developments in augmented reality, virtual reality, and mixed reality—and how they could affect every part of our lives.After years of hype, extended reality—augmented reality (AR), virtual reality (VR), and mixed reality (MR)—has entered the mainstream. Commercially available, relatively inexpensive VR headsets transport wearers to other realities—fantasy worlds, faraway countries, sporting events—in ways that even the most ultra-high-definition screen cannot. AR glasses receive data in visual and auditory forms that are more useful than any laptop or smartphone can deliver. Immersive MR environments blend physical and virtual reality to create a new reality. In this volume in the MIT Press Essential Knowledge series, technology writer Samuel Greengard offers an accessible overview of developments in extended reality, explaining the technology, considering the social and psychological ramifications, and discussing possible future directions.Greengard describes the history and technological development of augmented and virtual realities, including the latest research in the field, and surveys the various shapes and forms of VR, AR, and MR, including head-mounted displays, mobile systems, and goggles. He examines the way these technologies are shaping and reshaping some professions and industries, and explores how extended reality affects psychology, morality, law, and social constructs. It's not a question of whether extended reality will become a standard part of our world, he argues, but how, when, and where these technologies will take hold. Will extended reality help create a better world? Will it benefit society as a whole? Or will it merely provide financial windfalls for a select few? Greengard's account equips us to ask the right questions about a transformative technology.

An examination of young people's everyday new media practices-including video-game playing, text-messaging, digital media production, and social media use.

A philosopher considers entertainment, in all its totalizing variety-infotainment, edutainment, servotainment-and traces the notion through Kant, Zen Buddhism, Heidegger, Kafka, and Rauschenberg.

How productivity culture and technology became emblematic of the American economic system in pre- and postwar Germany.The concept of productivity originated in a statistical measure of output per worker or per work-hour, calculated by the US Bureau of Labor Statistics. A broader productivity culture emerged in 1920s America, as Henry Ford and others linked methods of mass production and consumption to high wages and low prices. These ideas were studied eagerly by a Germany in search of economic recovery after World War I, and, decades later, the Marshall Plan promoted productivity in its efforts to help post-World War II Europe rebuild. In Productivity Machines, Corinna Schlombs examines the transatlantic history of productivity technology and culture in the two decades before and after World War II. She argues for the interpretive flexibility of productivity: different groups viewed productivity differently at different times. Although it began as an objective measure, productivity came to be emblematic of the American economic system; post-World War II West Germany, however, adapted these ideas to its own political and economic values. Schlombs explains that West German unionists cast a doubtful eye on productivity's embrace of plant-level collective bargaining; unions fought for codetermination—the right to participate in corporate decisions. After describing German responses to US productivity, Schlombs offers an in-depth look at labor relations in one American company in Germany—that icon of corporate America, IBM. Finally, Schlombs considers the emergence of computer technology—seen by some as a new symbol of productivity but by others as the means to automate workers out of their jobs.

An examination of the meaning of meaninglessness: why it matters that nothing matters.When someone is labeled a nihilist, it's not usually meant as a compliment. Most of us associate nihilism with destructiveness and violence. Nihilism means, literally, "an ideology of nothing. " Is nihilism, then, believing in nothing? Or is it the belief that life is nothing? Or the belief that the beliefs we have amount to nothing? If we can learn to recognize the many varieties of nihilism, Nolen Gertz writes, then we can learn to distinguish what is meaningful from what is meaningless. In this addition to the MIT Press Essential Knowledge series, Gertz traces the history of nihilism in Western philosophy from Socrates through Hannah Arendt and Jean-Paul Sartre.Although the term "nihilism” was first used by Friedrich Jacobi to criticize the philosophy of Immanuel Kant, Gertz shows that the concept can illuminate the thinking of Socrates, Descartes, and others. It is Nietzsche, however, who is most associated with nihilism, and Gertz focuses on Nietzsche's thought. Gertz goes on to consider what is not nihilism—pessimism, cynicism, and apathy—and why; he explores theories of nihilism, including those associated with Existentialism and Postmodernism; he considers nihilism as a way of understanding aspects of everyday life, calling on Adorno, Arendt, Marx, and prestige television, among other sources; and he reflects on the future of nihilism. We need to understand nihilism not only from an individual perspective, Gertz tells us, but also from a political one.

Selections from FBI files on political activists including Betty Friedan, Abbie Hoffman, Martin Luther King, Aaron Swartz, and Malcolm X.

An elaborately illustrated A to Z of the face, from historical mugshots to Instagram posts.By turns alarming and awe-inspiring, Face offers up an elaborately illustrated A to Z—from the didactic anthropometry of the late-nineteenth century to the selfie-obsessed zeitgeist of the twenty-first.Jessica Helfand looks at the cultural significance of the face through a critical lens, both as social currency and as palimpsest of history. Investigating everything from historical mugshots to Instagram posts, she examines how the face has been perceived and represented over time; how it has been instrumentalized by others; and how we have reclaimed it for our own purposes. From vintage advertisements for a "nose adjuster” to contemporary artists who reconsider the visual construction of race, Face delivers an intimate yet kaleidoscopic adventure while posing universal questions about identity.

Explorations of the many ways of being material in the digital age.In his oracular 1995 book Being Digital, Nicholas Negroponte predicted that social relations, media, and commerce would move from the realm of "atoms to bits”—that human affairs would be increasingly untethered from the material world. And yet in 2019, an age dominated by the digital, we have not quite left the material world behind. In Being Material, artists and technologists explore the relationship of the digital to the material, demonstrating that processes that seem wholly immaterial function within material constraints. Digital technologies themselves, they remind us, are material things—constituted by atoms of gold, silver, silicon, copper, tin, tungsten, and more. The contributors explore five modes of being material: programmable, wearable, livable, invisible, and audible. Their contributions take the form of reports, manifestos, philosophical essays, and artist portfolios, among other configurations. The book's cover merges the possibilities of paper with those of the digital, featuring a bookmark-like card that, when "seen” by a smartphone, generates graphic arrangements that unlock films, music, and other dynamic content on the book's website. At once artist's book, digitally activated object, and collection of scholarship, this book both demonstrates and chronicles the many ways of being material.ContributorsChristina Agapakis, Azra Aksamija, Sandy Alexandre, Dewa Alit, George Barbastathis, Maya Beiser, Marie-Pier Boucher, Benjamin H. Bratton, Hussein Chalayan, Jim Cybulski, Tal Danino, Deborah G. Douglas, Arnold Dreyblatt, M. Amah Edoh, Michelle Tolini Finamore, Team Foldscope and Global Foldscope community, Ben Fry, Victor Gama, Stefan Helmreich, Hyphen-Labs, Leila Kinney, Rebecca Konte, Winona LaDuke, Brendan Landis, Grace Leslie, Bill Maurer, Lucy McRae, Tom Özden-Schilling, Trevor Paglen, Lisa Parks, Nadya Peek, Claire Pentecost, Manu Prakash,Casey Reas, Pawel Romanczuk, Natasha D. Schüll, Nick Shapiro, Skylar Tibbits, Rebecca Uchill, Evan ZiporynBook Design: E Roon KangElectronics, interactions, and product designer: Marcelo Coelho

Investigating the entanglement of industry, politics, culture, and economics at the frontier of ocean excavations through an innovative union of art and science.The oceans are crucial to the planet's well-being. They help regulate the global carbon cycle, support the resilience of ecosystems, and provide livelihoods for communities. The oceans as guardians of planetary health are threatened by many forces, including growing extractivist practices. Through the innovative lens of artistic research, Prospecting Ocean investigates the entanglement of industry, politics, culture, and economics at the frontier of ocean excavation. The result is a richly illustrated study that unites science and art to examine the ecological, cultural, philosophical, and aesthetic reverberations of this current threat to the oceans.Prospecting Oceans takes as its starting point an exhibition by the photographer and filmmaker Armin Linke, which was commissioned by TBA21-Academy, London, and first shown at the Institute of Marine Science (CNR-ISMAR) in Venice. Linke is concerned with making the invisible visible, and here he unmasks the technologies that enable extractions from the ocean, including future seabed mining for minerals and sampling of genetic data. But the book extends far beyond Linke's research, presenting the latest research from a variety of fields and employing art as the place where disciplines can converge. Integrating the work of artists with scientific, theoretical, and philosophical analysis, Prospecting Ocean demonstrates that visual culture offers new and urgent perspectives on ecological crises.

Experts review the latest research on the neocortex and consider potential directions for future research.

A milestone work that examines the democratic idea of photography and its expansion in common culture, particularly in the United States; generously illustrated.

A proposal for using cost-benefit analysis to evaluate the socioeconomic impact of public investment in large scientific projects.

How digital technology is profoundly renewing our sense of what is real and how we perceive.Digital technologies are not just tools; they are structures of perception. They determine the way in which the world appears to us. For nearly half a century, technology has provided us with perceptions coming from an unknown world. The digital beings that emerge from our screens and our interfaces disrupt the notion of what we experience as real, thereby leading us to relearn how to perceive. In Being and the Screen, Stéphane Vial provides a philosophical analysis of technology in general, and of digital technologies in particular, that relies on the observation of experience (phenomenology) and the history of technology (epistemology). He explains that technology is no longer separate from ourselves—if it ever was. Rather, we are as much a part of the machine as the machine is part of us. Vial argues that the so-called difference between the real and the virtual does not exist and never has. We are living in a hybrid environment—which is both digital and nondigital, online and offline. With this book, Vial endows philosophical meaning to what we experience daily in our digital age.In A Short Treatise on Design, Vial offers a concise introduction to the discipline of design—not a history book, but a book built of philosophical problems, developing a theory of the effect of design.This book is published with the support of the University of Nîmes, France.

How the history of art begins with the myth of the barbarian invasion—the romantic fragmentation of classical eternity.The history of art, argues Éric Michaud, begins with the romantic myth of the barbarian invasions. Viewed from the nineteenth century, the Germanic-led invasions of the Roman Empire in the fifth century became the gateway to modernity, seen not as a catastrophe but as a release from a period of stagnation, renewing Roman culture with fresh, northern blood—and with new art that was anti-Roman and anticlassical. Artifacts of art from then on would be considered as the natural product of "races” and "peoples” rather than the creation of individuals. The myth of the barbarian invasions achieved the fragmentation of classical eternity.This narrative, Michaud explains, inseparable from the formation of nation states and the rise of nationalism in Europe, was based on the dual premise of the homogeneity and continuity of peoples. Local and historical particularities became weapons aimed at classicism's universalism. The history of art linked its objects with racial groups—denouncing or praising certain qualities as "Latin” or "Germanic.” Thus the predominance of linear elements was thought to betray a southern origin, and the "painterly” a Germanic or northern source. Even today, Michaud points out, it is said that art best embodies the genius of peoples. In the globalized contemporary art market, the ethnic provenance of works—categorized, for example, as "African American,” "Latino,” or "Native American”—creates added value. The market displays the same competition among "races” that was present at the foundation of art history as a discipline.

An introduction to the use of probability models for analyzing risk and economic decisions, using spreadsheets to represent and simulate uncertainty.This textbook offers an introduction to the use of probability models for analyzing risks and economic decisions. It takes a learn-by-doing approach, teaching the student to use spreadsheets to represent and simulate uncertainty and to analyze the effect of such uncertainty on an economic decision. Students in applied business and economics can more easily grasp difficult analytical methods with Excel spreadsheets. The book covers the basic ideas of probability, how to simulate random variables, and how to compute conditional probabilities via Monte Carlo simulation. The first four chapters use a large collection of probability distributions to simulate a range of problems involving worker efficiency, market entry, oil exploration, repeated investment, and subjective belief elicitation. The book then covers correlation and multivariate normal random variables; conditional expectation; optimization of decision variables, with discussions of the strategic value of information, decision trees, game theory, and adverse selection; risk sharing and finance; dynamic models of growth; dynamic models of arrivals; and model risk. New material in this second edition includes two new chapters on additional dynamic models and model risk; new sections in every chapter; many new end-of-chapter exercises; and coverage of such topics as simulation model workflow, models of probabilistic electoral forecasting, and real options. The book comes equipped with Simtools, an open-source, free software used througout the book, which allows students to conduct Monte Carlo simulations seamlessly in Excel.

Economists offer rigorous quantitative analyses of how the institutional design and purpose of the WTO (and its progenitor, the GATT) affect economic development.

A theoretical account of moral revolutions, illustrated by historical cases that include the criminalization and decriminalization of abortion and the patient rebellion against medical paternalism.

If we send a message into space, will extraterrestrial beings receive it? Will they understand?The endlessly fascinating question of whether we are alone in the universe has always been accompanied by another, more complicated one: if there is extraterrestrial life, how would we communicate with it? In this book, Daniel Oberhaus leads readers on a quest for extraterrestrial communication. Exploring Earthlings' various attempts to reach out to non-Earthlings over the centuries, he poses some not entirely answerable questions: If we send a message into space, will extraterrestrial beings receive it? Will they understand? What languages will they (and we) speak? Is there not only a universal grammar (as Noam Chomsky has posited), but also a grammar of the universe? Oberhaus describes, among other things, a late-nineteenth-century idea to communicate with Martians via Morse code and mirrors; the emergence in the twentieth century of SETI (the search for extraterrestrial intelligence), CETI (communication with extraterrestrial intelligence), and finally METI (messaging extraterrestrial intelligence); the one-way space voyage of Ella, an artificial intelligence agent that can play cards, tell fortunes, and recite poetry; and the launching of a theremin concert for aliens. He considers media used in attempts at extraterrestrial communication, from microwave systems to plaques on spacecrafts to formal logic, and discusses attempts to formulate a language for our message, including the Astraglossa and two generations of Lincos (lingua cosmica).The chosen medium for interstellar communication reveals much about the technological sophistication of the civilization that sends it, Oberhaus observes, but even more interesting is the information embedded in the message itself. In Extraterrestrial Languages, he considers how philosophy, linguistics, mathematics, science, and art have informed the design or limited the effectiveness of our interstellar messaging.

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent.In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability "reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action.Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins ("good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.

An argument that information exists at different levels of analysis—syntactic, semantic, and pragmatic—and an exploration of the implications.Although this is the Information Age, there is no universal agreement about what information really is. Different disciplines view information differently; engineers, computer scientists, economists, linguists, and philosophers all take varying and apparently disconnected approaches. In this book, Antonio Badia distinguishes four levels of analysis brought to bear on information: syntactic, semantic, pragmatic, and network-based. Badia explains each of these theoretical approaches in turn, discussing, among other topics, theories of Claude Shannon and Andrey Kolomogorov, Fred Dretske's description of information flow, and ideas on receiver impact and informational interactions. Badia argues that all these theories describe the same phenomena from different perspectives, each one narrower than the previous one. The syntactic approach is the more general one, but it fails to specify when information is meaningful to an agent, which is the focus of the semantic and pragmatic approaches. The network-based approach, meanwhile, provides a framework to understand information use among agents.Badia then explores the consequences of understanding information as existing at several levels. Humans live at the semantic and pragmatic level (and at the network level as a society), computers at the syntactic level. This sheds light on some recent issues, including "fake news” (computers cannot tell whether a statement is true or not, because truth is a semantic notion) and "algorithmic bias” (a pragmatic, not syntactic concern). Humans, not computers, the book argues, have the ability to solve these issues.

An advanced treatment of modern macroeconomics, presented through a sequence of dynamic equilibrium models, with discussion of the implications for monetary and fiscal policy.This textbook offers an advanced treatment of modern macroeconomics, presented through a sequence of dynamic general equilibrium models based on intertemporal optimization on the part of economic agents. The book treats macroeconomics as applied and policy-oriented general equilibrium analysis, examining a number of models, each of which is suitable for investigating specific issues but may be unsuitable for others.After presenting a brief survey of the evolution of macroeconomics and the key facts about long-run economic growth and aggregate fluctuations, the book introduces the main elements of the intertemporal approach through a series of two-period competitive general equilibrium models—the simplest possible intertemporal models. This sets the stage for the remainder of the book, which presents models of economic growth, aggregate fluctuations, and monetary and fiscal policy. The text focuses on a full analysis of a limited number of key intertemporal models, which are stripped down to essentials so that students can focus on the dynamic properties of the models. Exercises encourage students to try their hands at solving versions of the dynamic models that define modern macroeconomics. Appendixes review the main mathematical techniques needed to analyze optimizing dynamic macroeconomic models. The book is suitable for advanced undergraduate and graduate students who have some knowledge of economic theory and mathematics for economists.