Middle of Nowhere Primary Function: Veb-sayt Xato Sahifasi by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award Kumush Mukofoti in Veb-sayt va Veb-dizayn Competition Category.
KumushVeb· 2022
Middle of Nowhere Primary Function: Veb-sayt Xato Sahifasi
by Yijia Xie
Client: IBM Research
A' Design Award Kumush Mukofoti Winner in Veb Category
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The Design
About Middle of Nowhere Primary Function: Veb-sayt Xato Sahifasi
Middle of Nowhere — bu tadqiqot tashkiloti veb-sayti uchun yaratilgan 404 xato sahifasidir. 404 sahifasi so'ralgan veb-sahifa mavjud bo'lmaganda paydo bo'ladi va ushbu dizayn bu lahzani xayoliy joylarga tashrifga aylantiradi. Ko'rsatilgan manzaralar generativ raqobat tarmog'i tomonidan yaratilgan bo'lib, bu mashinali o'rganish modeli dunyoning turli burchaklaridagi haqiqiy manzaralarning minglab fotosuratlarida o'qitilgan. Natijada hech qayerda mavjud bo'lmagan joylar hosil bo'ladi. Sahifa moslashuvchan veb-sayt sifatida qurilgan bo'lib, uning maqsadi onlaynda adashib qolishni tinch va jozibali qilishdan iborat.
The Recognition
About the A' Design Award Kumush Mukofoti
Middle of Nowhere Primary Function: Veb-sayt Xato Sahifasi A' Design Award Kumush Mukofotining g‘olibi bo‘lib, bu go‘zal, ulug‘vor va ta’sirchan eng yuqori darajadagi dizaynlarga beriladigan favqulodda nufuzli e’tirofdir. Kumush g‘oliblari o‘z dizaynerlarining ajoyib mahorati, iste’dodi va o‘tkirligini ko‘rsatuvchi juda yorqin va o‘ta ijodiy asarlardir. Middle of Nowhere Primary Function: Veb-sayt Xato Sahifasi ajoyib, namunaviy, diqqatga sazovor darajada kasbiy va chuqur innovatsion asar bo‘lishi kutiladi. A' Design Award Kumush Mukofotini qo‘lga kiritgan ushbu dizayn san’at, fan, dizayn va texnologiya chegaralarini kengaytiruvchi juda e’tiborga loyiq, tahsinga sazovor ixtirodir. Middle of Nowhere Primary Function: Veb-sayt Xato Sahifasi ko‘pchilik havas qiladigan, istaklarni uyg‘otadigan, ijobiy tuyg‘ular olib keladigan hamda hayrat va ajablanish uyg‘otadigan ijoddir.
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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