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When nature goes haywire in Texas, it isn't usually an earthshaking event. Though droughts, floods, tornadoes, and hail all keep Texans talking about the unpredictable weather, when it comes to earthquakes, most of us think we're on terra firma in this state. But we're wrong! Nearly every year, earthquakes large enough to be felt by the public occur somewhere in Texas. This entertaining, yet authoritative book covers "all you really need to know" about earthquakes in general and in Texas specifically. The authors explain how earthquakes are caused by natural forces or human activities, how they're measured, how they can be predicted, and how citizens and governments should prepare for them. They also thoroughly discuss earthquakes in Texas, looking at the occurrences and assessing the risks region by region and comparing the amount of seismic activity in Texas to other parts of the country and the world. The book concludes with a compendium of over one hundred recorded earthquakes in Texas from 1811 to 2000 that briefly describes the location, timing, and effects of each event.
Generously illustrated with concept development sketches as well as site plans, section drawings, full schematics, and photographs of finished buildings, this engaging volume focuses on "organic synthesis," the creative process that is architect Gunnar Birkerts's methodology and philosophy. Birkerts likens his organic approach to listening to music: the music must be heard as it unfolds; an attempt to perceive it all at once would reduce it to noise. Organic synthesis occurs as all aspects of a project present themselves: the building site, the building program and budget, available materials and technologies, emotional or intuitive content revealed through architect-client interaction.
THE LIVING CITY "An intelligent analysis. Sensible, undoctrinaire, evengood-humored. An appealing mixture of passion and clinicaldispassion." -Washington Post Book World "The best antidote I've read to the doom-and-gloom propheciesconcerning the future of urban America." -Bill Moyers "This is fresh and fascinating material; it is essential forunderstanding not only how to avoid repeating terrible mistakes ofthe past, but also how to recover from them." -Jane Jacobs, author of The Death and Life of Great AmericanCities From coast to coast across America there are countless urbansuccess stories about rejuvenated neighborhoods and resurgentbusiness districts. Roberta Brandes Gratz defines the phenomenon as"urban husbandry"-the care, management, and preservation of thebuilt environment nurtured by genuine participatory planningefforts of government, urban planners, and average citizens.
In Masonic Temples, William D. Moore introduces readers to the structures American Freemasons erected over the sixty-year period from 1870 to 1930, when these temples became a ubiquitous feature of the American landscape. As representations of King Solomon’s temple in ancient Jerusalem erected in almost every American town and city, Masonic temples provided specially designed spaces for the enactment of this influential fraternity’s secret rituals. Using New York State as a case study, Moore not only analyzes the design and construction of Masonic structures and provides their historical context, but he also links the temples to American concepts of masculinity during this period of profound economic and social transformation. By examining edifices previously overlooked by architectural and social historians, Moore decodes the design and social function of Masonic architecture and offers compelling new insights into the construction of American masculinity. Four distinct sets of Masonic ritual spaces—the Masonic lodge room, the armory and drill room of the Knights Templar, the Scottish Rite Cathedral, and the Shriners’ mosque – form the central focus of this volume. Moore argues that these spaces and their accompanying ceremonies communicated four alternative masculine archetypes to American Freemasons—the heroic artisan, the holy warrior, the adept or wise man, and the frivolous jester or fool. Although not a Freemason, Moore draws from his experience as director of the Chancellor Robert R Livingston Masonic Library in New York City, where heutilized sources previously inaccessible to scholars. His work should prove valuable to readers with interests in vernacular architecture, material culture, American studies, architectural and social history, Freemasonry, and voluntary associations.
Gunnar Birkerts has designed some of America's most innovative and distinctive architecture. A member of the Modern Movement's postwar generation, he has shown that modernism can accommodate lyrical, emotional, dynamic, and regional influences within its abstract construct. His design concepts, which grow from the individual character of site and client, defy stylistic categorization. Over his career he has won more than fifty major awards. The Architecture of Gunnar Birkerts not only presents the architects work, but also explores the influences of his background, design methodology, and philosophy on his buildings. -- from book flap.
This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.
The purpose of this book is to present new information about the late 19th & early 20th century cut glass industry in Corning, New York. The book focuses on T. G. Hawkes & Co because of the recent discovery of the latter's archival materials, 1880-1890.
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.