Middle of Nowhere Tudalen Gwall Gwefan by Yijia Xie

Middle of Nowhere Tudalen Gwall Gwefan by Yijia Xie is a highly esteemed winner of the very prestigious 2022 Gwobr Arian A' Design Award in Gwe Competition Category.

ArianGwe· 2022

Middle of Nowhere Tudalen Gwall Gwefan

by Yijia Xie

Client: IBM Research

Gwobr Arian A' Design Award Winner in Gwe Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

Colors

The Design

About Middle of Nowhere Tudalen Gwall Gwefan

Mae Middle of Nowhere yn dudalen gwall 404 a grëwyd ar gyfer gwefan sefydliad ymchwil. Mae tudalen 404 yn ymddangos pan nad yw tudalen we y gofynnwyd amdani yn bodoli, ac mae'r dyluniad hwn yn troi'r foment honno yn ymweliad â lleoedd dychmygol. Caiff y tirweddau a ddangosir eu creu gan rwydwaith gwrthwynebol cynhyrchiol, sef model dysgu peirianyddol a hyfforddwyd ar filoedd o ffotograffau o dirweddau go iawn o bob rhan o'r byd. Y canlyniad yw lleoedd nad ydynt yn bodoli yn unman. Adeiladwyd y dudalen fel gwefan ymatebol, a'r bwriad yw gwneud y profiad o fod ar goll ar-lein yn dawel ac yn ddiddorol.

The Recognition

About the Gwobr Arian A' Design Award

Mae Middle of Nowhere Tudalen Gwall Gwefan yn enillydd Gwobr Arian A' Design Award, cydnabyddiaeth hynod fawreddog a roddir i ddyluniadau o'r radd uchaf, hardd a thrawiadol. Mae enillwyr Arian yn weithiau tra disglair a hynod greadigol sydd yn darlunio arbenigedd, dawn a chraffter rhagorol eu dylunwyr. Disgwylir i Middle of Nowhere Tudalen Gwall Gwefan fod yn waith gwych ac esiampl, yn nodedig o broffesiynol ac yn ddwfn arloesol. Mae'r dyluniad buddugol hwn o Wobr Arian A' Design Award yn ddyfais hynod nodedig a edmygir sydd yn elwa ac yn symud ymlaen ffiniau celf, gwyddoniaeth, dylunio a thechnoleg. Mae Middle of Nowhere Tudalen Gwall Gwefan yn greadigaeth y cenfigennir wrthi yn eang, sydd yn deffro dyheadau, yn cyflwyno teimladau cadarnhaol ac yn cynnau rhyfeddod a syndod.

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