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The life of trailblazing physicist Mildred Dresselhaus, who expanded our understanding of the physical world. As a girl in New York City in the 1940s, Mildred “Millie” Dresselhaus was taught that there were only three career options open to women: secretary, nurse, or teacher. But sneaking into museums, purchasing three-cent copies of National Geographic, and devouring books on the history of science ignited in Dresselhaus (1930–2017) a passion for inquiry. In Carbon Queen, science writer Maia Weinstock describes how, with curiosity and drive, Dresselhaus defied expectations and forged a career as a pioneering scientist and engineer. Dresselhaus made highly influential discoveries abou...
An NPR Favorite Book of the Year “Breaks new ground on social and educational questions of great import.” —Washington Post “An essential work, humane and candid, that challenges and expands our understanding of the lives of contemporary college students.” —Paul Tough, author of Helping Children Succeed “Eye-opening...Brings home the pain and reality of on-campus poverty and puts the blame squarely on elite institutions.” —Washington Post “Jack’s investigation redirects attention from the matter of access to the matter of inclusion...His book challenges universities to support the diversity they indulge in advertising.” —New Yorker The Ivy League looks different than...
Black, Indigenous, and Peoples of Color--reimagine library and information science through the lens of critical race theory. In Knowledge Justice, Black, Indigenous, and Peoples of Color scholars use critical race theory (CRT) to challenge the foundational principles, values, and assumptions of Library and Information Science and Studies (LIS) in the United States. They propel CRT to center stage in LIS, to push the profession to understand and reckon with how white supremacy affects practices, services, curriculum, spaces, and policies.
"ARL has published a book and Web site profiling selected rare and special collections in major research libraries of North America, Celebrating Research: Rare and Special Collections from the Membership of the Association of Research Libraries. The compendium is a sampling of the abundance and variety of collections available for use. Special collections have been broadly construed to encompass distinctive, rare and unique, emerging media, born-digital, digitized, uncommon, non-standard, primary, and heritage materials. Celebrating Research includes 118 collection profiles, each from a different ARL member library. Each profile is illustrated with color photographs and tells a story of a si...
A book that acts both as library and exhibition space, selecting, arranging, and housing texts and images, aligning itself with printed matter in the process. Fantasies of the Library lets readers experience the library anew. The book imagines, and enacts, the library as both keeper of books and curator of ideas—as a platform of the future. One essay occupies the right-hand page of a two-page spread while interviews scrolls independently on the left. Bibliophilic artworks intersect both throughout the book-as-exhibition. A photo essay, “Reading Rooms Reading Machines” further interrupts the book in order to display images of libraries (old and new, real and imagined), and readers (huma...
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. 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 concep...
The Massachusetts Institute of Technology's Laboratory for Computer Science (LCS) hasbeen responsible for some of the most significant technological achievements of the past fewdecades. Much of the hardware and software driving the information revolution has been, andcontinues to be, created at LCS. Anyone who sends and receives email, communicates with colleaguesthrough a LAN, surfs the Web, or makes decisions using a spreadsheet is benefiting from thecreativity of LCS members.LCS is an interdepartmental laboratory that brings together faculty,researchers, and students in a broad program of study, research, and experimentation. Theirprincipal goal is to pursue innovations in information technology that will improve people's lives.LCS members have been instrumental in the development of ARPAnet, the Internet, the Web, Ethernet,time-shared computers, UNIX, RSA encryption, the X Windows system, NuBus, and many othertechnologies.This book, published in celebration of LCS's thirty-fifth anniversary, chronicles itshistory, achievements, and continued importance to computer science. The essays are complemented byhistorical photographs.
The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was de...
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data e...
Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We ...