Böcker utgivna av MIT Press Ltd

An examination of how the technical choices, social hierarchies, economic structures, and political dynamics shaped the Soviet nuclear industry leading up to Chernobyl.

Interdisciplinary perspectives on the capacity to perceive, appreciate, and make music.Research shows that all humans have a predisposition for music, just as they do for language. All of us can perceive and enjoy music, even if we can't carry a tune and consider ourselves "unmusical.” This volume offers interdisciplinary perspectives on the capacity to perceive, appreciate, and make music. Scholars from biology, musicology, neurology, genetics, computer science, anthropology, psychology, and other fields consider what music is for and why every human culture has it; whether musicality is a uniquely human capacity; and what biological and cognitive mechanisms underlie it.Contributors outline a research program in musicality, and discuss issues in studying the evolution of music; consider principles, constraints, and theories of origins; review musicality from cross-cultural, cross-species, and cross-domain perspectives; discuss the computational modeling of animal song and creativity; and offer a historical context for the study of musicality. The volume aims to identify the basic neurocognitive mechanisms that constitute musicality (and effective ways to study these in human and nonhuman animals) and to develop a method for analyzing musical phenotypes that point to the biological basis of musicality.ContributorsJorge L. Armony, Judith Becker, Simon E. Fisher, W. Tecumseh Fitch, Bruno Gingras, Jessica Grahn, Yuko Hattori, Marisa Hoeschele, Henkjan Honing, David Huron, Dieuwke Hupkes, Yukiko Kikuchi, Julia Kursell, Marie-Élaine Lagrois, Hugo Merchant, Björn Merker, Iain Morley, Aniruddh D. Patel, Isabelle Peretz, Martin Rohrmeier, Constance Scharff, Carel ten Cate, Laurel J. Trainor, Sandra E. Trehub, Peter Tyack, Dominique Vuvan, Geraint Wiggins, Willem Zuidema

Why embodied approaches to cognition are better able to address the performative dimensions of art than the dualistic conceptions fundamental to theories of digital computing.

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.

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.

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.

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.

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 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.

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

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.

An argument that theoretical works can signify through their materiality—their "noise,” or such nonsemantic elements as typography—as well as their semantic content.In Material Noise, Anne Royston argues that theoretical works signify through their materiality—such nonsemantic elements as typography or color—as well as their semantic content. Examining works by Jacques Derrida, Avital Ronell, Georges Bataille, and other well-known theorists, Royston considers their materiality and design—which she terms "noise”—as integral to their meaning. In other words, she reads these theoretical works as complex assemblages, just as she would read an artist's book in all its idiosyncratic tangibility.Royston explores the formlessness and heterogeneity of the Encyclopedia Da Costa, which published works by Bataille, André Breton, and others; the use of layout and white space in Derrida's Glas; the typographic illegibility—"static and interference”—in Ronell's The Telephone Book; and the enticing surfaces of Mark C. Taylor's Hiding, its digital counterpart The Réal: Las Vegas, NV, and Shelley Jackson's Skin. Royston then extends her analysis to other genres, examining two recent artists' books that express explicit theoretical concerns: Johanna Drucker's Stochastic Poetics and Susan Howe's Tom Tit Tot.Throughout, Royston develops the concept of artistic arguments, which employ signification that exceeds the semantics of a printed text and are not reducible to a series of linear logical propositions. Artistic arguments foreground their materiality and reflect on the media that create them. Moreover, Royston argues, each artistic argument anticipates some aspect of digital thinking, speaking directly to such contemporary concerns as hypertext, communication theory, networks, and digital distribution.

An in-depth exploration of a neglected video game platform of the 1990s and a reflection on the way we construct the cultural history of video games.In The Media Snatcher, Carl Therrien offers an in-depth exploration of NEC's PC Engine/TurboGrafx-16, a little-studied video game platform released in the late 1980s. The PC Engine was designed to bring technological expandability to the world of game consoles; The Media Snatcher's subtitle evokes some of the expansions and the numerous rebranded versions of the system released by NEC, including the first CD-ROM add-on in video game history. The platform makers hoped that expandability would allow its console to remain at the cutting edge and even catch up with such perceptually rich media as cinema and anime. More than a simple shape-shifter, the PC Engine became a media snatcher.Therrien examines the multidirectional interactions of video game technologies, commercial structures, and cultural dynamics. He considers, among other things, hyperbolic marketing and its impact on how we construct video game history; glitches, technological obsolescence, and the difficulty of conducting media archaeology of the recent past; the emergence of male-centered power fantasies through audiovisual rewards; the rise of original genres such as visual novels; and the sustained efforts to integrate PC Engine software in the sprawling media landscape of Japan (where the PC Engine found much of its success). Avoiding the usual techno-industrial glorification, Therrien recounts the bold technological aspirations of the platform makers and the struggles to make the actual technology realize its potential.

How to be a great online searcher, demonstrated with step-by-step searches for answers to a series of intriguing questions (for example, “Is that plant poisonous?”).We all know how to look up something online by typing words into a search engine. We do this so often that we have made the most famous search engine a verb: we Google it—“Japan population” or “Nobel Peace Prize” or “poison ivy” or whatever we want to know. But knowing how to Google something doesn't make us search experts; there's much more we can do to access the massive collective knowledge available online. In The Joy of Search, Daniel Russell shows us how to be great online researchers. We don't have to be computer geeks or a scholar searching out obscure facts; we just need to know some basic methods. Russell demonstrates these methods with step-by-step searches for answers to a series of intriguing questions—from “what is the wrong side of a towel?” to “what is the most likely way you will die?” Along the way, readers will discover essential tools for effective online searches—and learn some fascinating facts and interesting stories. Russell explains how to frame search queries so they will yield information and describes the best ways to use such resources as Google Earth, Google Scholar, Wikipedia, and Wikimedia. He shows when to put search terms in double quotes, how to use the operator (*), why metadata is important, and how to triangulate information from multiple sources. By the end of this engaging journey of discovering, readers will have the definitive answer to why the best online searches involve more than typing a few words into Google.

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques.This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation.The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

An investigation of independent video games—creative, personal, strange, and experimental—and their claims to handcrafted authenticity in a purely digital medium.Video games are often dismissed as mere entertainment products created by faceless corporations. The last twenty years, however, have seen the rise of independent, or "indie,” video games: a wave of small, cheaply developed, experimental, and personal video games that react against mainstream video game development and culture. In Handmade Pixels, Jesper Juul examine the paradoxical claims of developers, players, and festivals that portray independent games as unique and hand-crafted objects in a globally distributed digital medium.Juul explains that independent video games are presented not as mass market products, but as cultural works created by people, and are promoted as authentic alternatives to mainstream games. Writing as a game player, scholar, developer, and educator, Juul tells the story of how independent games—creative, personal, strange, and experimental—became a historical movement that borrowed the term "independent” from film and music while finding its own kind of independence.Juul describes how the visual style of independent games signals their authenticity—often by referring to older video games or analog visual styles. He shows how developers use strategies for creating games with financial, aesthetic, and cultural independence; discusses the aesthetic innovations of "walking simulator” games; and explains the controversies over what is and what isn't a game. Juul offers examples from independent games ranging from Dys4ia to Firewatch; the text is richly illustrated with many color images.

An introductory text in linguistic semantics, uniquely balancing empirical coverage and formalism with development of intuition and methodology.This introductory textbook in linguistic semantics for undergraduates features a unique balance between empirical coverage and formalism on the one hand and development of intuition and methodology on the other. It will equip students to form intuitions about a set of data, explain how well an analysis of the data accords with their intuitions, and extend the analysis or seek an alternative. No prior knowledge of linguistics is required. After mastering the material, students will be able to tackle some of the most difficult questions in the field even if they have never taken a linguistics course before.After introducing such concepts as truth conditions and compositionality, the book presents a basic symbolic logic with negation, conjunction, and generalized quantifiers, to serve as the basis for translation throughout the book. It then develops a detailed compositional semantics, covering quantification (scope and binding), adverbial modification, relative clauses, event semantics, tense and aspect, as well as pragmatic phenomena, notably deictic pronouns and narrative progression.A Course in Semantics offers a large and diverse set of exercises, interspersed throughout the text; those labeled "Important practice and looking ahead” prepare students for material to come; those labeled "Thinking about ” invite students to think beyond the content of the book.

An analysis of patterns of convergent evolution on Earth that suggests where we might look for similar convergent forms on other planets.Why does a sea lily look like a palm tree? And why is a sea lily called a "lily” when it is a marine animal and not a plant? Many marine animals bear a noticeable similarity in form to land-dwelling plants. And yet these marine animal forms evolved in the oceans first; land plants independently and convergently evolved similar forms much later in geologic time. In this book, George McGhee analyzes patterns of convergent evolution on Earth and argues that these patterns offer lessons for the search for life elsewhere in the universe.Our Earth is a water world; 71 percent of the earth's surface is covered by water. The fossil record shows that multicellular life on dry land is a new phenomenon; for the vast majority of the earth's history—3,500 million years of its 4,560 million years of existence—complex life existed only in the oceans. Explaining that convergent biological evolution occurs because of limited evolutionary pathways, McGhee examines examples of convergent evolution in forms of feeding, immobility and mobility, defense, and organ systems. McGhee suggests that the patterns of convergent evolution that we see in our own water world indicate the potential for similar convergent forms in other water worlds. We should search for extraterrestrial life on water worlds, and for technological life on water worlds with continental landmasses.

Reclaiming the artist Ana Mendieta as a formally innovative maker of performative art who forged connections to the marginalized around the world.The artist Ana Mendieta (1948-1985) is remembered as the creator of powerful works expressing a vibrant and unflinching second-wave feminist sensibility. In Radical Virtuosity, art historian Genevieve Hyacinthe offers a new view of Mendieta, connecting her innovative artwork to the art, cultural aesthetics and concerns, feminisms, and sociopolitical messages of the black Atlantic. Mendieta left Cuba as a preteen, fleeing the Castro regime, and spent years in U.S. foster care. Her sense of exile, Hyacinthe argues, colors her work. Hyacinthe examines the development of Mendieta's performative artworks—particularly the Silueta series (1973-1985), which documented the silhouette of her body in the earth over time (a series "without end,” Mendieta said)—and argues that these works were shaped by Mendieta's appropriation and reimagining of Afro-Cuban ritual. Mendieta's effort to create works that invited audience participation, Hyacinthe says, signals her interest in forging connections with the marginalized, particularly those of the black Atlantic and Global South. Hyacinthe describes the "counter entropy” of Mendieta's small-scale earthworks (contrasting them with more massive works created by Robert Smithson and other male artists); considers the resonance of Mendieta's work with the contemporary practices of black Atlantic female artists including Wangechi Mutu, Renee Green, and Damali Abrams; and connects Mendieta's artistic and political expressions to black Atlantic feminisms of such popular artists as Princess Nokia. Mendieta's life and work are often overshadowed in popular perception by her early and tragic death—at thirty-six, she plunged from the window of the thirty-fourth floor Greenwich Village apartment she shared with her husband, the artist Carl Andre. (Andre was charged with her murder and acquitted.) Hyacinthe's account—profusely illustrated, with many images in color—reclaims Mendieta's work and legacy for its artistic significance.