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Middle of Nowhere Website-Fehlerseite by Yijia Xie

Middle of Nowhere Website-Fehlerseite by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award in Silber in Webdesign Competition Category.


SilberWeb· 2022

Middle of Nowhere Website-Fehlerseite

by Yijia Xie

Client: IBM Research

A' Design Award in Silber Winner in Web Category

Colors

The Design

About Middle of Nowhere Website-Fehlerseite

Middle of Nowhere ist eine 404-Fehlerseite, die für die Website einer Forschungsorganisation entwickelt wurde. Eine 404-Seite erscheint, wenn eine angeforderte Webseite nicht existiert – dieses Design verwandelt diesen Moment in einen Besuch imaginärer Orte. Die dargestellten Landschaften werden von einem Generative Adversarial Network erzeugt, einem Machine-Learning-Modell, das mit Tausenden von Fotografien echter Landschaften aus der ganzen Welt trainiert wurde. Das Ergebnis sind Orte, die nirgendwo existieren. Die Seite ist als responsive Website umgesetzt, mit dem Ziel, das Verlorensein im Netz ruhig und fesselnd zu gestalten.

The Recognition

About the A' Design Award in Silber

Middle of Nowhere Website-Fehlerseite ist Gewinner des A' Design Award in Silber, einer enorm prestigeträchtigen Anerkennung für erstklassige, großartige und beeindruckende Spitzendesigns. Silber-Gewinner sind ungemein brillante und äußerst kreative Werke, die die herausragende Expertise, das Talent und den Scharfsinn ihrer Designer veranschaulichen. Von Middle of Nowhere Website-Fehlerseite wird erwartet, dass es ein wunderbares Vorzeigewerk ist, das bemerkenswert professionell und zutiefst innovativ ist. Dieses mit dem A' Design Award in Silber prämierte Design ist eine höchst bemerkenswerte, bewunderte Erfindung, die den Grenzen von Kunst, Wissenschaft, Design und Technologie zugutekommt und sie voranbringt. Middle of Nowhere Website-Fehlerseite ist eine vielbeneidete Schöpfung, die Wünsche weckt, positive Gefühle vermittelt und Staunen und Verwunderung entfacht.

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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