Middle of Nowhere Primærfunksjon: Feilside for nettsted by Yijia Xie

Middle of Nowhere Primærfunksjon: Feilside for nettsted by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award i Sølv in Nettsted og webdesign Competition Category.

SølvWeb· 2022

Middle of Nowhere Primærfunksjon: Feilside for nettsted

by Yijia Xie

Client: IBM Research

A' Design Award i Sølv Winner in Web Category

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Verified Award Winner
Verify Award Status for #137451

View at A' Design Award Press Release Award Badge

Colors

The Design

About Middle of Nowhere Primærfunksjon: Feilside for nettsted

Middle of Nowhere er en 404-feilside laget for et forskningsorganisasjons nettsted. En 404-side vises når en forespurt nettside ikke eksisterer, og dette designet gjør det øyeblikket til et besøk til tenkte steder. Landskapene som vises er skapt av et generativt motstridende nettverk, en maskinlæringsmodell trent på tusenvis av fotografier av virkelige landskap fra hele verden. Resultatene er steder som ikke finnes noe sted. Siden er bygget som et responsivt nettsted, og hensikten er å gjøre det å være fortapt på nett rolig og engasjerende.

The Recognition

About the A' Design Award i Sølv

Middle of Nowhere Primærfunksjon: Feilside for nettsted er vinner av A' Design Award i Sølv, en usedvanlig prestisjefylt anerkjennelse som tildeles design i toppklassen som er nydelige og imponerende. Sølvvinnere er enormt briljante og usedvanlig kreative verk som viser designernes enestående ekspertise, talent og skarpsindighet. Middle of Nowhere Primærfunksjon: Feilside for nettsted forventes å være et praktfullt utstillingsverk som er bemerkelsesverdig profesjonelt og dypt nyskapende. Dette designet, som har vunnet A' Design Award i Sølv, er en svært bemerkelsesverdig, beundret oppfinnelse som gagner og flytter grensene for kunst, vitenskap, design og teknologi. Middle of Nowhere Primærfunksjon: Feilside for nettsted er et skaperverk mange misunner, som vekker ønsker, gir positive følelser og vekker undring og forundring.

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