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E-raamat: Machine Learning: Architecture in the age of Artificial Intelligence

  • Formaat: 200 pages
  • Ilmumisaeg: 30-Apr-2022
  • Kirjastus: RIBA Publishing
  • Keel: eng
  • ISBN-13: 9781000600674
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  • Formaat: 200 pages
  • Ilmumisaeg: 30-Apr-2022
  • Kirjastus: RIBA Publishing
  • Keel: eng
  • ISBN-13: 9781000600674

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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.





Architectures 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.
Acknowledgements iii
Foreword v
Introduction vi
Architecture in the Age of Machine Intelligence
Front Materials
Process
1.1 Tools And Technologies
2(11)
1.2 What Is Artificial Intelligence (Al)?
13(8)
1.3 Professional Information And Knowledge
21(11)
1.4 Ai And Process Transformation In Design And Beyond
32(13)
1.5 Scopes Of Service
45(13)
1.6 Delivery, Means And Methods
58(14)
Relationship
2.1 Economics, Compensation And Value
72(10)
2.2 Laws, Policy And Risk
82(10)
2.3 The Demand For Professionals
92(10)
2.4 Education, Certification And Training
102(14)
Results
3.1 The Objectives Of Design
116(10)
3.2 Creating, Consuming And Curating Data
126(10)
3.3 Tasks, Automated
136(12)
3.4 Labour Of Design
148(7)
3.5 Value Propositions And Business Models
155(13)
Conclusion
4.1 Conclusion
168(5)
End Materials
Bibliography 173(3)
References 176(8)
Index 184
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.