Machine Learning: Architecture in the Age of Artificial Intelligence

ISBN-13: 9781914124013 / Angielski / Miękka / 2022 / 200 str.

Phil Bernstein

Opis

‘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

Spis treści

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

O autorze

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.