Middle of Nowhere Page d'erreur de site web by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award d'Argent in Web Competition Category.
ArgentWeb· 2022
Middle of Nowhere Page d'erreur de site web
by Yijia Xie
Client: IBM Research
A' Design Award d'Argent Winner in Web Category
Verified Award Winner
Verify Award Status for #137451The Design
About Middle of Nowhere Page d'erreur de site web
Middle of Nowhere est une page d'erreur 404 conçue pour le site web d'un organisme de recherche. Une page 404 s'affiche lorsqu'une page web demandée n'existe pas, et ce design transforme ce moment en une visite de lieux imaginaires. Les paysages présentés sont générés par un réseau antagoniste génératif, un modèle d'apprentissage automatique entraîné à partir de milliers de photographies de paysages réels du monde entier. Il en résulte des lieux qui n'existent nulle part. La page est conçue comme un site web responsive, avec l'intention de rendre l'égarement en ligne apaisant et captivant.
The Recognition
About the A' Design Award d'Argent
Middle of Nowhere Page d'erreur de site web est lauréat de l'A' Design Award d'Argent, une reconnaissance énormément prestigieuse décernée à des designs haut de gamme, superbes et impressionnants. Les lauréats Argent sont des œuvres tout à fait brillantes et extrêmement créatives qui illustrent l'expertise, le talent et la perspicacité remarquables de leurs concepteurs. Middle of Nowhere Page d'erreur de site web est censé être une œuvre merveilleuse, une vitrine de savoir-faire, remarquablement professionnelle et profondément innovante. Ce design lauréat de l'A' Design Award d'Argent est une invention très notable et admirée, qui sert l'art, la science, le design et la technologie et en repousse les limites. Middle of Nowhere Page d'erreur de site web est une création très enviée qui éveille les désirs, apporte des sentiments positifs et suscite émerveillement et étonnement.
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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