Machine Learning

Name: Machine Learning
Brand: Unknown
SKU: 9781914124013
Price: 86.99 NZD
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Architecture in the age of Artificial Intelligence

By Phil Bernstein

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Summary

Machine Learning by Phil Bernstein explores the transformative impact of AI on the architecture profession. It presents a forward-looking strategy for architects to embrace emerging technologies as design agents, not just tools. The book is structured into three parts: Process, Relationships, and Results, guiding professionals through opportunities and risks in a future where computers may augment or replace traditional knowledge work.

Key topics include professionalism, tools and technologies, laws and policy, delivery methods, data management, and new business models, providing a comprehensive roadmap for future-proofing architectural practices.
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Format: Paperback / softback

$86⁹⁹

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Machine Learning

$86⁹⁹

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This book is ideal for architects, design professionals, and industry leaders interested in integrating artificial intelligence and machine learning into their practice. It also suits those seeking to understand the evolving landscape of technology-driven design and business innovation within architecture.

The architecture profession is changing. Practices must stay abreast of new developments in AI or risk being left behind. Architecture's best-known technologist, Phil Bernstein, provides a strategy for long-term success.

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

Book Details

INFORMATION

ISBN: 9781914124013

Publisher: RIBA Publishing

Format: Paperback / softback

Date Published: 01 May 2022

Country: United Kingdom

Imprint: RIBA Publishing

Audience: Professional and scholarly

DIMENSIONS

Width: 167.0mm

Height: 240.0mm

Weight: 250g

Pages: 200

Collections

Arts & Culture Computing & Technology Education & Reference Non-Fiction Phil Bernstein

About the Author

Phil Bernstein is an architect and technologist who is an Associate Dean and Professor, Adjunct at the Yale School of Architecture where he has been a member of the faculty since 1988. Prior to his current full-time role at Yale he was a vice president at Autodesk, where he helped develop and execute the company strategy that resulted in Building Information Modelling. Prior to Autodesk he was a principal at Pelli Clarke Pelli Architects. He is the author of Architecture Design Data: Practice Competency in the Era of Computation, and co-author of Building (In) the Future: Recasting Labor in Architecture and Goat Rodeo: Practicing Built Environments. He writes, lectures, and consults extensively on the implications of technology on architectural practice.