Middle of Nowhere Primary Function: Itulau Sese o le Upega Tafailagi by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award Ario in Mamanu Upega Tafailagi Competition Category.
ArioUpega· 2022
Middle of Nowhere Primary Function: Itulau Sese o le Upega Tafailagi
by Yijia Xie
Client: IBM Research
A' Design Award Ario Winner in Upega Category
Verified Award Winner
Verify Award Status for #137451The Design
About Middle of Nowhere Primary Function: Itulau Sese o le Upega Tafailagi
Middle of Nowhere o se itulau sese 404 na faia mo se upega tafailagi a se faalapotopotoga suesue. E aliali mai se itulau 404 pe a le o iai se itulau upega tafailagi na talosagaina, ma o lenei mamanu e faaliliuina lena taimi i se asiasiga i nofoaga na mafaufauina. O laufanua o loo faaalia na faia e se generative adversarial network, o se faataitaiga o le aoaoina o masini na aoaoina i le faitau afe o ata o laufanua moni mai le lalolagi atoa. O taunuuga o nofoaga e le o iai i se mea. O le itulau e fausia o se upega tafailagi tali atu, ma o le faamoemoe ia faafilemuina ma faafiafiaina le sese i luga o le initaneti.
The Recognition
About the A' Design Award Ario
O le A' Design Award Ario na manumalo ai Middle of Nowhere Primary Function: Itulau Sese o le Upega Tafailagi, o se faamaoniga matuā mamalu e tuuina atu i mamanu sili ona lelei, matagofie ma mataʻutia. O ē manumalo i le Ario o galuega susulu tele ma fatufatuaʻi e faaalia ai le poto, le taleni ma le atamai o tagata mamanu. E faamoemoeina Middle of Nowhere Primary Function: Itulau Sese o le Upega Tafailagi e avea ma galuega matagofie, o se fesuiaiga mo isi, e iloga i le tomai faapolofesa ma mea fou loloto. O lenei mamanu na manumalo i le A' Design Award Ario o se mea e iloga, ua mataʻina e aogā ma tuleia atu tapulaʻa o le faatufugaga, saienisi, mamanu ma tekonolosi. Middle of Nowhere Primary Function: Itulau Sese o le Upega Tafailagi o se mea e fiafia i ai le toatele, e fafagu ai manaʻoga, aumaia ai lagona lelei ma tupu ai le ofo.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- This 404-page design comes from the idea of "The middle of nowhere." "404" means that the webpage doesn't exist, so this project creates an environment that makes users feel lost around the internet data and enjoy the virtual landscapes. By training a machine learning model that combines thousands of images, Yijia creates unique and beautiful places that don't exist in the whole world or even in the universe. They are just the landscapes generated by Artificial Intelligence.
- Dimensions & Packaging
- Responsive website construction
- Tags
- Machine Learning, Artificial intelligence, Website design, GAN
- Production Technology
- Generative adversarial network/Machine learning/UI Design
- Design Challenge
- It's difficult to collect all the appropriate databases and train the machine learning model. I tested many times and learned the new technology&knowledge during the model training to get unique and beautiful results.
- Research
- Our goal is to create an unprecedented 404 page connecting to IBM Research's brand identity and focus areas. I came up with different sketch directions, including typography&illustration style, and an interactive website. We finally decided on the concept of "Middle of nowhere" by using artificial intelligence technology. We hope to relay "Welcome to the future" to people through this 404 page.
- Inspiration
- As a top leader in the AI industry, IBM Research is relentlessly curious about all the ways that computing can change the world. Today's AI is narrow. Applying trained models to new challenges requires an immense amount of new data training and time. People need AI that combines different forms of knowledge, unpacks causal relationships, and learns new things on its own. This 404 page explores a new possibility combining machine learning and design practice to increase the brand awareness of IBM research.
- Project Duration
- 2021.11-2022.02 New York
- Operation Flow
- These images/videos of nonexistent landscapes were created using a generative adversarial network. It’s a type of machine learning model that can create novel content after being shown many original pieces of content. In this case, we showed our GAN thousands of images of landscapes from around the globe, and it generated these rather other-worldly images by combining aspects of everything it’s been shown.
- Team Members
- Design Lead/Art Director: Yijia Xie
- Image Credits
- IBM Research/Yijia Xie
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