Phil Bernstein

Machine Learning (eBook, ePUB)

Architecture in the age of Artificial Intelligence

• Format: ePub

Produktbeschreibung

'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

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 200
• Erscheinungstermin: 30. April 2022
• Englisch
• ISBN-13: 9781000600681
• Artikelnr.: 63912054

Autorenporträt

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.

Inhaltsangabe

Acknowledgments
Introduction
Foreword by Mark Greaves
1 - PROCESS 1.1 Tools and technologies
1.2 What is AI? 1.3 Professional Information and Knowledge 1.4 AI and Process Transformation in Design
and Beyond 1.5 Scopes of Service 1.6 Delivery Means and Methods 2 - RELATIONSHIPS 2.1 Economics 2.2 Laws Policy
and Risk 2.3 Professionalism 2.4 Education
Certification
and Training 3 - RESULTS 3.1 Objectives of design 3.2 Creating
Consuming and Curating Data 3.3 Tasks
Automation 3.4 Labour of Design 3.5 Value Propositions and Business Models Index Bibliography