An Anonymous Composition (2019)
article⁄An Anonymous Composition (2019)
abstract⁄Within the context of continuous technology transformations, the way scientists and designers process data is changing dramatically from simplification and explicit defined rules to searching and retrieving. Ideally, such a trending method can eliminate issues including deviation and ambiguity with the help of hypothetically unlimited computational power. To process data in this manner, artificial intelligence is necessary and needs to be integrated into the design process. An experiment of a design process that consists of a generative model, a data library, and a machine learning system GAN is introduced to demonstrate its effectiveness. The methodology is further evaluated by comparing its output with its input targets, which proves the possibility of employing machine learning systems to aggressively process data and automate the design process. Further improvement of such methodology, including judging criteria and possible applications, and the sensibility of the machine is also discussed at the end.
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| Year |
2019 |
| Authors |
Liu, Henan; Liao, Longtai; Srivastava, Akshay. |
| Issue |
ACADIA 19:UBIQUITY AND AUTONOMY |
| Pages |
404-411 |
| Library link |
N/A |
| Entry filename |
anonymous-composition |
