Silevera Webo · 2022
Middle of Nowhere Primary Function: Leqephe la Phoso la Sebaka sa Marang-rang
by Yijia Xie
- Moputso oa Silevera oa A' Design Award 2022 in Webo
- CLIENT: IBM Research
- Estimated Number of Design Views: 61,340
- Verification code C0E6DFE925 · Verify this award
Colors
About Middle of Nowhere Primary Function: Leqephe la Phoso la Sebaka sa Marang-rang
Book Text: Middle of Nowhere ke leqephe la phoso la 404 le entsoeng bakeng sa sebaka sa marang-rang sa mokhatlo oa lipatlisiso. Leqephe la 404 le hlaha ha leqephe la marang-rang le kōpiloeng le sa teng, 'me moralo ona o fetola motsotso oo hore e be ketelo ea libaka tse iqapetsoeng. Libaka tse bontšitsoeng li entsoe ke marang-rang a khahlanong a jenereitiv, mohlala oa ho ithuta ha mochine o koetlisitsoeng ka lifoto tse likete tsa libaka tsa 'nete ho tsoa lefatšeng lohle. Liphello ke libaka tse sa teng kae le kae. Leqephe le hahiloe e le sebaka sa marang-rang se arabelang, 'me morero ke ho etsa hore ho lahleha marang-rang e be ntho e khutsitseng le e khahlisang.
About the Moputso oa Silevera oa A' Design Award
Middle of Nowhere Primary Function: Leqephe la Phoso la Sebaka sa Marang-rang ke mohapi oa Moputso oa Silevera oa A' Design Award, kananelo e hlomphehang haholo e fuoang meralo e phahameng ka ho fetesisa, e ntle le e tsosang maikutlo. Bahapi ba Silevera ke mesebetsi e khanyang haholo le e nang le boqapi bo ikhethang e bontšang botsebi, talenta le bohlale ba baqapi ba eona. Middle of Nowhere Primary Function: Leqephe la Phoso la Sebaka sa Marang-rang e lebelletsoe ho ba mosebetsi o motle, oa mohlala, o nang le boprofeshenale bo bonahalang le mehopolo e mecha e tebileng. Moralo ona o hapileng Moputso oa Silevera oa A' Design Award ke mohopolo o hlokomelehang haholo le o ratoang o tlisang molemo mme o sutumelletsang meeli ea bonono, mahlale, moralo le theknoloji. Middle of Nowhere Primary Function: Leqephe la Phoso la Sebaka sa Marang-rang ke mosebetsi oo batho ba bangata ba o lakatsang, o tsosang litakatso, o tlisang maikutlo a matle le o tsosetsang ho makala le ho hlolla.
Press Kit
- 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.
- Image Credits
- IBM Research/Yijia Xie
