A Section Of Now

'A Section of Now' aims to re-establish a dialogue between architecture and society that would allow architecture to begin to contend with and address our changed and changing social norms. The publication serves as a meditation on new behaviours, rituals, and values and their spatial implications, and seeks to catalyse urban and architectural interventions that accommodate, influence, and, in some cases, pre-empt our new lived realities. Authors address topics ranging from the safety of digital spaces to how normative life trajectories affect the elderly and the many selves each of us puts forward, while architects present frameworks for, among other things, spaces for blended families, thirty-year-old retirees, and contested monuments. Bringing together analytical essays about the contemporary moment and the direction in which society is moving, projective texts that outline new architectural types to address societal needs, alongside television series, photography, and architecture and design projects, 'A Section of Now' outlines a new relationship between the spaces in which we live and the ways we live within them. Architect, editor, and curator Giovanna Borasi is Director of the Canadian Centre for Architecture.

Jean-Nicolas-Louis Durand (1760–1834) regarded the Précis of the Lectures on Architecture (1802–5) and its companion volume, the Graphic Portion (1821), as both a basic course for future civil engineers and a treatise. Focusing the practice of architecture on utilitarian and economic values, he assailed the rationale behind classical architectural training: beauty, proportionality, and symbolism. His formal systematization of plans, elevations, and sections transformed architectural design into a selective modular typology in which symmetry and simple geometrical forms prevailed. His emphasis on pragmatic values, to the exclusion of metaphysical concerns, represented architecture as a closed system that subjected its own formal language to logical processes. Now published in English for the first time, the Précis and the Graphic Portion are classics of architectural education.

#1 NEW YORK TIMES BESTSELLER • ONE OF TIME MAGAZINE’S 100 BEST YA BOOKS OF ALL TIME The extraordinary, beloved novel about the ability of books to feed the soul even in the darkest of times. When Death has a story to tell, you listen. It is 1939. Nazi Germany. The country is holding its breath. Death has never been busier, and will become busier still. Liesel Meminger is a foster girl living outside of Munich, who scratches out a meager existence for herself by stealing when she encounters something she can’t resist–books. With the help of her accordion-playing foster father, she learns to read and shares her stolen books with her neighbors during bombing raids as well as with the Jewish man hidden in her basement. In superbly crafted writing that burns with intensity, award-winning author Markus Zusak, author of I Am the Messenger, has given us one of the most enduring stories of our time. “The kind of book that can be life-changing.” —The New York Times “Deserves a place on the same shelf with The Diary of a Young Girl by Anne Frank.” —USA Today DON’T MISS BRIDGE OF CLAY, MARKUS ZUSAK’S FIRST NOVEL SINCE THE BOOK THIEF.

It's no wonder that The Power of Now has sold over 16 million copies worldwide and has been translated into over 30 foreign languages. Much more than simple principles and platitudes, the book takes readers on an inspiring spiritual journey to find their true and deepest self and reach the ultimate in personal growth and spirituality: the discovery of truth and light. In the first chapter, Tolle introduces readers to enlightenment and its natural enemy, the mind. He awakens readers to their role as a creator of pain and shows them how to have a pain-free identity by living fully in the present. The journey is thrilling, and along the way, the author shows how to connect to the indestructible essence of our Being, "the eternal, ever-present One Life beyond the myriad forms of life that are subject to birth and death." Featuring a new preface by the author, this paperback shows that only after regaining awareness of Being, liberated from Mind and intensely in the Now, is there Enlightenment.

In 1969, Ian McHarg's seminal book, Design with Nature, set forth a new vision for regional planning using natural systems. To celebrate its 50th anniversary, a team of landscape architects and planners from PennDesign have showcased some of the most advanced ecological design projects in the world today. Written in clear language and featuring vivid color images, Design with Nature Now demonstrates McHarg's enduring influence on contemporary practitioners as they contend with climate change and other 21st-century challenges.

Set in the future when "firemen" burn books forbidden by the totalitarian "brave new world" regime.

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 concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.