Sirivha Webhu · 2022
Middle of Nowhere Primary Function: Peji Rekukanganisa reWebhusaiti
by Yijia Xie
- Mubairo weSirivha we A' Design Award 2022 in Webhu
- CLIENT: IBM Research
- Estimated Number of Design Views: 61,340
- Verification code C0E6DFE925 · Verify this award
Colors
About Middle of Nowhere Primary Function: Peji Rekukanganisa reWebhusaiti
Middle of Nowhere ipeji yekukanganisa ye404 yakagadzirirwa webhusaiti yesangano rekutsvakurudza. Peji ye404 inoonekwa kana peji rewebhu rakumbirwa risipo, uye dhizaini iyi inoshandura nguva iyoyo ichiiita kushanya kunzvimbo dzakafungidzirwa. Nzvimbo dzinoratidzwa dzakagadzirwa nenetiweki inopikisana inogadzira zvinhu, iyo iri modheru yekudzidza kwemuchina yakadzidziswa nemazana ezviuru zvemifananidzo yenzvimbo chaidzo dzaripo pasi rese. Zvibereko zvacho inzvimbo dzisipo kwese kwese. Peji iyi yakavakwa seiyo webhusaiti inodairira, uye chinangwa ndechekuita kuti kurasika paIndaneti kudzikame uye kukwezve.
About the Mubairo weSirivha we A' Design Award
Mubairo weSirivha we A' Design Award wakahwinwa ne Middle of Nowhere Primary Function: Peji Rekukanganisa reWebhusaiti, rukudzo rwakakwirira zvikuru runopiwa kumadhizaini epamusoro, anonaka uye anofadza. Vakunda veSirivha mabasa anopenya kwazvo uye ane kugadzira kwakasiyana anoratidza unyanzvi, hunyanzvi hwekusikwa nekungwara kwevagadziri vawo. Middle of Nowhere Primary Function: Peji Rekukanganisa reWebhusaiti inotarisirwa kuva basa rinoshamisa, rinotangira vamwe, rine hunyanzvi hunoonekwa uye zvitsva zvakadzika. Dhizaini iyi yakahwina Mubairo weSirivha we A' Design Award chigadzirwa chinoshamisa, chinokudzwa chinobatsira uye chinosundira mberi miganhu yehunyanzvi, sayenzi, dhizaini netekinoroji. Middle of Nowhere Primary Function: Peji Rekukanganisa reWebhusaiti chigadzirwa chinoshuvirwa nevazhinji, chinomutsa zvishuvo, chinouya nemanzwiro akanaka uye chinomutsa kushamisika.
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
