Machine Learning

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.  

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