Middle of Nowhere Primary Function: Shafin Kuskure na Yanar Gizo by Yijia Xie is a highly esteemed winner of the very prestigious 2022 Kyautar A' Design Award ta Azurfa in Yanar Gizo Competition Category.
AzurfaYanar Gizo· 2022
Middle of Nowhere Primary Function: Shafin Kuskure na Yanar Gizo
by Yijia Xie
Client: IBM Research
Kyautar A' Design Award ta Azurfa Winner in Yanar Gizo Category
Verified Award Winner
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About Middle of Nowhere Primary Function: Shafin Kuskure na Yanar Gizo
Middle of Nowhere shafin kuskure ne na 404 wanda aka ƙirƙira don gidan yanar gizon wata ƙungiyar bincike. Shafin 404 yana bayyana ne lokacin da shafin yanar gizon da aka nema baya nan, kuma wannan ƙira tana mai da wannan lokacin ya zama ziyara zuwa wuraren da aka yi tunani. Wuraren da aka nuna an ƙirƙira su ne ta hanyar generative adversarial network, wani samfurin koyon na'ura wanda aka horar da shi kan dubban hotunan ainihin wurare daga ko'ina cikin duniya. Sakamakon shine wuraren da babu su a ko'ina. An gina shafin a matsayin gidan yanar gizo mai amsawa, kuma manufar ita ce a sanya ɓacewa a kan layi ya zama mai sanyaya rai da jan hankali.
The Recognition
About the Kyautar A' Design Award ta Azurfa
Zanen Middle of Nowhere Primary Function: Shafin Kuskure na Yanar Gizo ya lashe Kyautar A' Design Award ta Azurfa, wata karramawa mai tsananin daraja da ake bai wa zane-zane na matakin koli, masu kyau sosai kuma masu burgewa. Waɗanda suka lashe kyautar Azurfa ayyuka ne masu haske sosai da ƙirƙira mai yawa waɗanda ke nuna ƙwarewa, baiwa da kaifin tunanin masu zanensu. Ana sa ran zanen Middle of Nowhere Primary Function: Shafin Kuskure na Yanar Gizo ya zama aiki mai ban mamaki, abin koyi, mai ƙwarewa sosai kuma mai ƙirƙire-ƙirƙire mai zurfi. Wannan zane da ya lashe Kyautar A' Design Award ta Azurfa ƙirƙira ce mai abin lura sosai, da ake sha'awa, wacce ke amfanar da kuma kai iyakokin fasaha, kimiyya, zane da fasahar zamani gaba. Zanen Middle of Nowhere Primary Function: Shafin Kuskure na Yanar Gizo ƙirƙira ce da ake yi wa hassada sosai wacce ke tada sha'awa, tana kawo jin daɗi kuma tana haifar da mamaki da al'ajabi.
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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