Middle of Nowhere Página de error del sitio web by Yijia Xie

Middle of Nowhere Página de error del sitio web by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award de Plata in Diseño Web Competition Category.

PlataWeb· 2022

Middle of Nowhere Página de error del sitio web

by Yijia Xie

Client: IBM Research

A' Design Award de Plata Winner in Web Category

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Verified Award Winner
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View at A' Design Award Press Release Award Badge

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The Design

About Middle of Nowhere Página de error del sitio web

Middle of Nowhere es una página de error 404 creada para el sitio web de una organización de investigación. Una página 404 aparece cuando la página web solicitada no existe, y este diseño convierte ese momento en una visita a lugares imaginados. Los paisajes que se muestran han sido generados por una red generativa antagónica, un modelo de aprendizaje automático entrenado con miles de fotografías de paisajes reales de todo el mundo. El resultado son lugares que no existen en ninguna parte. La página está construida como un sitio web adaptable, y la intención es que perderse en internet resulte sereno y cautivador.

The Recognition

About the A' Design Award de Plata

Middle of Nowhere Página de error del sitio web ha ganado el A' Design Award de Plata, un reconocimiento extraordinariamente prestigioso concedido a diseños de gama alta, magníficos e impresionantes. Los ganadores de Plata son obras tremendamente brillantes y sumamente creativas que ilustran la destacada experiencia, el talento y la agudeza de sus diseñadores. Se espera que Middle of Nowhere Página de error del sitio web sea una obra maravillosa y emblemática, notablemente profesional y profundamente innovadora. Este diseño ganador del A' Design Award de Plata es una invención muy notable y admirada que beneficia y hace avanzar las fronteras del arte, la ciencia, el diseño y la tecnología. Middle of Nowhere Página de error del sitio web es una creación enormemente envidiada que evoca deseos, aporta sentimientos positivos y despierta asombro y admiración.

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