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Middle of Nowhere Página de Erro de Website by Yijia Xie

Middle of Nowhere Página de Erro de Website by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award de Prata in Design de Websites e Web Competition Category.


PrataWeb· 2022

Middle of Nowhere Página de Erro de Website

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

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The Design

About Middle of Nowhere Página de Erro de Website

Middle of Nowhere é uma página de erro 404 criada para o website de uma organização de pesquisa. Uma página 404 surge quando a página solicitada não existe, e este projeto transforma esse momento numa visita a lugares imaginados. As paisagens apresentadas são geradas por uma rede generativa adversarial, um modelo de aprendizagem automática treinado com milhares de fotografias de paisagens reais de todo o mundo. O resultado são lugares que não existem em parte alguma. A página foi desenvolvida como um website responsivo, com a intenção de tornar a experiência de se perder online algo sereno e envolvente.

The Recognition

About the A' Design Award de Prata

Middle of Nowhere Página de Erro de Website conquistou o A' Design Award de Prata, um reconhecimento extraordinariamente prestigiado atribuído a designs de topo de gama, deslumbrantes e impressionantes. Os vencedores da Prata são obras tremendamente brilhantes e extremamente criativas que ilustram a perícia, o talento e a acuidade excecionais dos seus designers. Espera-se que Middle of Nowhere Página de Erro de Website seja uma obra maravilhosa e de referência, notavelmente profissional e profundamente inovadora. Este design vencedor do A' Design Award de Prata é uma invenção muito notável e admirada, que beneficia e faz avançar as fronteiras da arte, da ciência, do design e da tecnologia. Middle of Nowhere Página de Erro de Website é uma criação imensamente invejada que desperta desejos, traz sentimentos positivos e faz nascer espanto e deslumbramento.

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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