Middle of Nowhere Paġna ta' Żball tal-Websajt by Yijia Xie

Middle of Nowhere Paġna ta' Żball tal-Websajt by Yijia Xie is a highly esteemed winner of the very prestigious 2022 Premju A' Design Award tal-Fidda in Disinn tal-Websajts u Web Competition Category.

FiddaWeb· 2022

Middle of Nowhere Paġna ta' Żball tal-Websajt

by Yijia Xie

Client: IBM Research

Premju A' Design Award tal-Fidda Winner in Web 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 Paġna ta' Żball tal-Websajt

Middle of Nowhere hija paġna ta' żball 404 maħluqa għal websajt ta' organizzazzjoni ta' riċerka. Paġna 404 tidher meta paġna tal-web mitluba ma teżistix, u dan id-disinn ibiddel dak il-mument f'żjara lejn postijiet immaġinati. Il-pajsaġġi murija huma magħmula minn network ġenerattiv avversarjali, mudell tat-tagħlim tal-magni mħarreġ fuq eluf ta' ritratti ta' pajsaġġi reali minn madwar id-dinja. Ir-riżultati huma postijiet li ma jeżistu mkien. Il-paġna hija mibnija bħala websajt responsiva, u l-intenzjoni hija li tagħmel il-fatt li tintilef online kalm u attraenti.

The Recognition

About the Premju A' Design Award tal-Fidda

Middle of Nowhere Paġna ta' Żball tal-Websajt huwa rebbieħ tal-Premju A' Design Award tal-Fidda, rikonoxximent prestiġjuż straordinarjament mogħti lil disinji tal-ogħla livell, sbieħ u impressjonanti. Ir-rebbieħa tal-Fidda huma xogħlijiet brillanti ħafna u kreattivi ħafna li juru l-għarfien espert, it-talent u l-aċċuratezza tad-disinjaturi tagħhom. Huwa mistenni li Middle of Nowhere Paġna ta' Żball tal-Websajt ikun xogħol mill-isbaħ, eżemplari, professjonali ħafna u innovattiv bil-fond. Dan id-disinn rebbieħ tal-Fidda huwa invenzjoni notevoli u mammirata li tikkontribwixxi biex jitwessgħu l-fruntieri tal-arti, ix-xjenza, id-disinn u t-teknoloġija. Middle of Nowhere Paġna ta' Żball tal-Websajt huwa ħolqien li ħafna jinvidjawh, li jqajjem ix-xewqat, iġib sentimenti pożittivi u joħloq tgħaġġib u mistagħġib.

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