Machine learning : architecture in the age of artificial intelligence. / Phil Bernstein. txt
Editor: London : RIBA Publishing, 2022Descripción: xi, 186 p. : ill. ; photo. ; graph. ; col. ; 24 cmTipo de contenido:- text
- still image
- unmediated
- volume
- 1914124014
- 9781914124013
- 9781000600681
- 9781000600674
- 9781003297192
- 23 720.28563
- NA2543.T43 B47 2022
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro | CARIBET Biblioteca Arquitectura Colección General CARIBET | General NA2543.T43 B47 2022 (Navegar estantería(Abre debajo)) | 1 | Disponible | 91000000068635 |
Descripciones mejoradas de Syndetics:
'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.Includes bibliographical references and index.
Front Materials:
Introduction VI --
Process:
Tools and technologies --
What is artificial intelligence (Al)? --
Professional information and knowledge --
AI and process Transformation in design and beyond --
Scopes of service --
Delivery, means and methods --
Relationships:
Economics, compensation and value --
Laws, policy and risk --
The demand for professionals --
Education, certification and training --
Results:
The objectives of design --
Creating, consuming and curating Data --
Tasks, automated --
Labour of design --
Value propositions and business models --
End Materials:
Conclusion --
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.
Notas de autor provistas por Syndetics
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.