Architecture in the Age of Artificial Intelligence

Author: Neil Leach
Publisher: Bloomsbury Publishing
ISBN: 1350165549
Category : Architecture
Languages : en
Pages : 281

Book Description
Artificial intelligence is everywhere – from the apps on our phones to the algorithms of search engines. Without us noticing, the AI revolution has arrived. But what does this mean for the world of design? The first volume in a two-book series, Architecture in the Age of Artificial Intelligence introduces AI for designers and considers its positive potential for the future of architecture and design. Explaining what AI is and how it works, the book examines how different manifestations of AI will impact the discipline and profession of architecture. Highlighting current case-studies as well as near-future applications, it shows how AI is already being used as a powerful design tool, and how AI-driven information systems will soon transform the design of buildings and cities. Far-sighted, provocative and challenging, yet rooted in careful research and cautious speculation, this book, written by architect and theorist Neil Leach, is a must-read for all architects and designers – including students of architecture and all design professionals interested in keeping their practice at the cutting edge of technology.

Machine Learning

Author: Phil Bernstein
Publisher: Routledge
ISBN: 1000600688
Category : Architecture
Languages : en
Pages : 173

Book Description
‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture’s best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections – Process, Relationships and Results – Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on: Professionalism Tools and technologies Laws, policy and risk Delivery, means and methods Creating, consuming and curating data Value propositions and business models.

Artificial Intelligence and Architecture

Author: Stanislas Chaillou
Publisher: Birkhäuser
ISBN: 3035624046
Category : Architecture
Languages : en
Pages : 208

Book Description
Künstliche Intelligenz (KI) hat Eingang in unzählige Branchen gefunden. In der Architektur steckt der Einsatz von KI noch in den Kinderschuhen, doch die Entwicklung der letzten Jahre hat vielversprechende Ergebnisse gebracht. Das Buch ist eine gut verständliche Einführung. Sie bietet einen Überblick über die Geschichte der KI und ihre ersten Anwendungen in der Architektur. Im zweiten Teil präsentiert der Autor konkrete Beispiele für den kreativen Einsatz von KI in der Praxis. Führende Experten, von der Havard-University bis zur Bauhaus Universität, eröffnen schließlich in Essays vielfältige Perspektiven auf das Potenzial von KI. Als Einführung zeigt das Buch ein Panorama dieser neuen technologischen Möglichkeiten und verdeutlicht so das Versprechen, das sie für die Architektur darstellen.

Competing in the Age of AI

Author: Marco Iansiti
Publisher: Harvard Business Press
ISBN: 1633697630
Category : Business & Economics
Languages : en
Pages : 175

Book Description
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Architects of Intelligence

Author: Martin Ford
Publisher: Packt Publishing Ltd
ISBN: 178913126X
Category : Computers
Languages : en
Pages : 540

Book Description
Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika’s thoughts on AI analytics, Geoffrey Hinton’s breakthroughs in AI programming and development, and Rana el Kaliouby’s insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.

Neural Architecture

Author: Matias del Campo
Publisher: Applied Research & Design
ISBN: 9781951541682
Category :
Languages : en
Pages : 250

Book Description
This book explores the interdisciplinary project that brings the long tradition of humanistic inquiry in architecture together with cutting-edge research in artificial intelligence. The main goal of Neural Architecture is to understand how to interrogate artificial intelligence - a technological tool - in the field of architectural design, traditionally a practice that combines humanities and visual arts. Matias del Campo, the author of Neural Architecture is currently exploring specific applications of artificial intelligence in contemporary architecture, focusing on their relationship to material and symbolic culture. AI has experienced an explosive growth in recent years in a range of fields including architecture but its implications for the humanistic values that distinguish architecture from technology have yet to be measured. The book illustrates in a series of projects a set of crucial questions for the development of architecture in the future. An opportunity to survey the emerging field of Architecture and Artificial Intelligence, and to reflect on the implications of a world increasingly entangled in questions of the agency, culture and ethics of AI.

Biodesign in the Age of Artificial Intelligence

Author: Claudia Pasquero
Publisher: Taylor & Francis
ISBN: 1000901998
Category : Architecture
Languages : en
Pages : 291

Book Description
Biodesign in the Age of Artificial Intelligence: Deep Green investigates the potential of nature-based technology for shaping the evolution of contemporary architecture and design. It takes on the now pervasive topic of design intelligence, extending its definition to encompass both biological and digital realms. As in their first title, Systemic Architecture: Operating Manual for the Self-Organizing City, the authors engage the topic through the specific lens of their innovative design practice, ecoLogicStudio, and their research at the University of Innsbruck and at the Bartlett, UCL. Part One of the book, entitled PhotoSyntheticaTM, illustrates design solutions that engage the urban microbiome and seek to achieve an immediate impact, while Part Two, entitled Deep Green, includes synthetic landscapes and operates within a much larger spatio-temporal frame, going beyond human perception and life span to envision design as a geographical and geological force. In the age of catastrophic climate change, such perceptual expansion helps to clarify that change cannot simply be stopped or rolled back. We must instead establish more positive dynamics of change within the living world. To this end, this book proposes to engage with design and architecture as an extended cognitive interface, a sentient being that is co-evolutionary and symbiotic with the living planet, contributing to its beauty and to our continued enjoyment of it.

The Routledge Companion to Artificial Intelligence in Architecture

Author: Imdat As
Publisher: Routledge
ISBN: 1000372413
Category : Architecture
Languages : en
Pages : 632

Book Description
Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.

A History of Artificially Intelligent Architecture

Author: Danyal Ahmed
Publisher: Taylor & Francis
ISBN: 1000965708
Category : Architecture
Languages : en
Pages : 200

Book Description
A History of Artificially Intelligent Architecture: Case Studies from the USA, UK, Europe and Japan, 1949-1987 provides a comprehensive survey of architectural projects exhibiting intelligence since the Late First Century right up to the present day. Tracing the social, scientific and technological developments, this book analyses case studies from both conceived and executed architectural projects by Architects and Cyberneticians from the United States, United Kingdom, Europe and Japan from 1949-87. From the Late First Century through to the Seventeenth Century, the scientific endeavors of the Hero of Alexandria, Ramon Llull, Paracelsus, René Descartes, Jacques de Vaucanson, Pierre Jacquet-Droz, and Charles Babbage have been presented in which they attempted to review, analyse and conclude the notion of artificial intelligence. Coming to the Twenty-First Century and witnessing a period, particularly from 1949-87, where nothing had been constant, Architects and Cyberneticians whose architectural projects attempted to simulate intelligence include Cedric Price, Richard Saul Wurman, Nicholas Negroponte, Kenzo Tange, Arata Isozaki, Charles Eames, Ezra D. Ehrenkrantz, Richard Rogers, Renzo Piano, and Gordon Pask respectively. This book asks: How have Polymaths, Architects and Cyberneticians simulated artificial intelligence in their scientific/architectural projects? Is it possible to define intelligence purely based on the history of architecture? Or, on a more extensive level, is it possible to view artificial intelligence originating from the history of architecture instead of computational paradigm? The transdisciplinarity of the book makes it of interest to researchers and students of technologically advanced architecture’s history, theory, and criticism, artificial intelligence, cybernetics, information and communications, urban and sustainable design, ergonomics, computer applications, and digital design and fabrication.

In the Pursuit of a Better Way (Part 2)

Author: Dev Desai
Publisher: Dev Desai
ISBN:
Category : Architecture
Languages : en
Pages : 63

Book Description
The research is one of a two part series in the pursuit of a better way to design, develop and express identity in the metropolis. The research and hypothesis delves into the application of artificial intelligence in architecture and the technological Zeitgeist of the twenty first century to enforce a democratic method of design and decentralized means of production.