File:Post-parametric Automation in Design and Construction (Authors Thomas Spiegelhalter Alfredo Andia 2014).jpg
Size of this preview: 800 × 594 pixels. Other resolutions: 320 × 238 pixels | 640 × 475 pixels | 1,024 × 760 pixels | 1,280 × 950 pixels | 2,560 × 1,900 pixels | 3,147 × 2,336 pixels.
Original file (3,147 × 2,336 pixels, file size: 8.67 MB, MIME type: image/jpeg)
File information
Structured data
Captions
Summary
editDescriptionPost-parametric Automation in Design and Construction (Authors Thomas Spiegelhalter Alfredo Andia 2014).jpg |
English: “Post-parametric Automation in Design and Construction (2014) by Alfredo Andia (Author), Thomas Spiegelhalter (Author). The publication marks a milestone long before the “NOISE” around AI in Design and Construction accelerated in the international community. This book features built and benchmarked case studies on artificial intelligence science and applications, synthetic biology moonshot thinking, and information automation. These emerging technologies, which include a combination of algorithms, robots, software, and avatars, are causing transformational changes in all industries and professions. The book focuses on addressing critical questions for the design and construction industry: How are architects, engineers, and contractors leveraging information technology to automate their practices? Specifically, it explores how advanced architectural and engineering practices utilize parametric automation to semi-automate their design processes by implementing sophisticated algorithms that streamline their workflows. Moreover, the book documents a set of firms that are at the forefront of the AI-ML-assisted automation movement, using techniques such as pre-fabrication, modularisation, and custom designs via robotics to advance their automation capabilities further. This book is still highly relevant to professionals in the engineering, architecture, building design, construction management, contracting, and development fields, as it provides valuable insights into the rapidly evolving world of automation in the built environment. ARTECH House Publisher London-Boston, Book Cover Image Courtesy by RMIT Architecture Master Studio, 100YC: Tom Kovac, Michael Mei, Students Wnechberg john Xu, Miau Teng Tan, Dac Thanh Yu. Link: https://www.amazon.com/Post-parametric-Automation-Design-Construction-Alfredo/dp/1608076938 |
Date | |
Source | Own work |
Author | Thomas Spiegelhalter and Alfredo Andia |
Licensing
editI, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
The categories of this image need checking. You can do so here.
|
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 11:38, 24 March 2023 | 3,147 × 2,336 (8.67 MB) | FIUTho (talk | contribs) | Uploaded own work with UploadWizard |
You cannot overwrite this file.
File usage on Commons
There are no pages that use this file.
Metadata
This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.
Author | Thomas Spiegelhalter |
---|---|
Date and time of data generation | 07:24, 24 March 2023 |
Date and time of digitizing | 07:24, 24 March 2023 |
DateTimeOriginal subseconds | 06 |
DateTimeDigitized subseconds | 06 |