Middle of Nowhere Páxina de erro do sitio web by Yijia Xie

Middle of Nowhere Páxina de erro do sitio web by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award de Prata in Deseño Web e de Sitios Web Competition Category.

PrataWeb· 2022

Middle of Nowhere Páxina de erro do sitio web

by Yijia Xie

Client: IBM Research

A' Design Award de Prata Winner in Web Category

61,340
Verified Award Winner
Verify Award Status for #137451

View at A' Design Award Press Release Award Badge

Colors

The Design

About Middle of Nowhere Páxina de erro do sitio web

Middle of Nowhere é unha páxina de erro 404 creada para o sitio web dunha organización de investigación. Unha páxina 404 aparece cando unha páxina web solicitada non existe, e este deseño converte ese momento nunha visita a lugares imaxinados. As paisaxes mostradas están feitas por unha rede xerativa antagónica, un modelo de aprendizaxe automática adestrado con miles de fotografías de paisaxes reais de todo o mundo. Os resultados son lugares que non existen en ningures. A páxina está construída como un sitio web adaptable, e a intención é facer que estar perdido en liña sexa tranquilo e atractivo.

The Recognition

About the A' Design Award de Prata

Middle of Nowhere Páxina de erro do sitio web gañou o A' Design Award de Prata, un recoñecemento enormemente prestixioso outorgado a deseños de gama alta, fermosos e impresionantes. Os gañadores Prata son obras tremendamente brillantes e sumamente creativas que ilustran a pericia, o talento e a agudeza sobresaíntes dos seus deseñadores. Espérase que Middle of Nowhere Páxina de erro do sitio web sexa unha obra marabillosa, escaparate de oficio, notablemente profesional e profundamente innovadora. Este deseño gañador do A' Design Award de Prata é unha invención moi notable e admirada que beneficia e fai avanzar os límites da arte, a ciencia, o deseño e a tecnoloxía. Middle of Nowhere Páxina de erro do sitio web é unha creación moi envexada que esperta desexos, achega sentimentos positivos e prende asombro e marabilla.

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