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Middle of Nowhere Websäit Feelersäit by Yijia Xie

Middle of Nowhere Websäit Feelersäit by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award an Sëlwer in Websäit a Webdesign Competition Category.


SëlwerWeb· 2022

Middle of Nowhere Websäit Feelersäit

by Yijia Xie

Client: IBM Research

A' Design Award an Sëlwer Winner in Web Category

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Verified Award Winner

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Colors

The Design

About Middle of Nowhere Websäit Feelersäit

Middle of Nowhere ass eng 404 Feelersäit déi fir d'Websäit vun enger Fuerschungsorganisatioun erstallt gouf. Eng 404 Säit erschéngt wann eng ugefroten Websäit net existéiert, an dëst Design mécht aus deem Moment e Besuch bei imaginéierte Plazen. D'Landschaften déi gewisen ginn si vun engem generative adversarial network gemaach, engem Machine-Learning-Modell deen op Dausende vu Fotoen vu richtege Landschaften aus der ganzer Welt trainéiert gouf. D'Resultater sinn Plazen déi néierens existéieren. D'Säit ass als responsiv Websäit opgebaut, an d'Zil ass et fir dat Verluergoen online roueg an uspriechend ze maachen.

The Recognition

About the A' Design Award an Sëlwer

Middle of Nowhere Websäit Feelersäit ass e Gewënner vum A' Design Award an Sëlwer, enger aussergewéinlech prestigiéiser Unerkennung, déi un Designe vun der héchster Qualitéit, prächteg a beandrockend vergi gëtt. Sëlwer-Gewënner si bemierkenswäert brillant a ganz kreativ Wierker, déi d'erausragend Expertise, d'Talent an d'Schaarfsënnegkeet vun hire Designer weisen. Et gëtt erwaart, datt Middle of Nowhere Websäit Feelersäit e wonnerbart, mustergëlteg, bemierkenswäert professionellt an déif innovatiivt Wierk ass. Dëst mam Sëlwer ausgezeechent Design ass eng bemierkenswäert, bewonnert Erfindung, déi dozou bäidréit, d'Grenze vun der Konscht, der Wëssenschaft, vum Design an der Technologie ze erweideren. Middle of Nowhere Websäit Feelersäit ass eng Kreatioun, op déi vill neidesch sinn, déi Wënsch erweckt, positiv Gefiller bréngt an Erstaunen a Wonner erweckt.

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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