Middle of Nowhere Kaca Kasalahan Ramatloka by Yijia Xie

Middle of Nowhere Kaca Kasalahan Ramatloka by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award Perak in Wéb Competition Category.

PerakWéb· 2022

Middle of Nowhere Kaca Kasalahan Ramatloka

by Yijia Xie

Client: IBM Research

A' Design Award Perak Winner in Wéb 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 Kaca Kasalahan Ramatloka

Middle of Nowhere nyaéta kaca kasalahan 404 anu dijieun pikeun ramatloka hiji organisasi panalungtikan. Kaca 404 muncul nalika kaca ramat anu dipénta téh henteu aya, sarta desain ieu ngarobah momen éta jadi kunjungan ka tempat-tempat anu dibayangkeun. Bentang-bentang anu ditémbongkeun dijieun ku generative adversarial network, hiji modél machine learning anu dilatih maké rébuan poto bentang nyata ti sakuliah dunya. Hasilna nyaéta tempat-tempat anu teu aya di mana-mana. Kaca ieu diwangun salaku ramatloka anu responsif, sarta maksudna nyaéta pikeun ngajadikeun kaayaan leungiteun online téh tenang jeung matak katarik.

The Recognition

About the A' Design Award Perak

Middle of Nowhere Kaca Kasalahan Ramatloka mangrupa juara A' Design Award Perak, pangakuan anu luar biasa bergengsi anu dipasihkeun ka desain kelas luhur, endah jeung matak kagum. Para juara Perak téh karya anu pohara cemerlang jeung pohara kréatif anu ngagambarkeun kaahlian, bakat jeung kapinteran para désainerna. Middle of Nowhere Kaca Kasalahan Ramatloka diharepkeun jadi karya anu éndah, karya andalan anu pohara profésional jeung pohara inovatif. Desain juara A' Design Award Perak ieu mangrupa panemuan anu pohara kasohor jeung dikagumi anu mangpaat sarta ngamajukeun watesan seni, élmu, desain jeung téknologi. Middle of Nowhere Kaca Kasalahan Ramatloka mangrupa kréasi anu pohara diirikeun anu ngahudang kahayang, ngabawa rasa positip, jeung ngahudangkeun rasa heran jeung kagum.

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