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Middle of Nowhere Halaman Kesalahan Situs Web by Yijia Xie

Middle of Nowhere Halaman Kesalahan Situs Web by Yijia Xie is a highly esteemed winner of the very prestigious 2022 A' Design Award Perak in Desain Situs Web dan Web Competition Category.


PerakWeb· 2022

Middle of Nowhere Halaman Kesalahan Situs Web

by Yijia Xie

Client: IBM Research

A' Design Award Perak Winner in Web Category

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Verified Award Winner

Verify Award Status for #137451

Colors

The Design

About Middle of Nowhere Halaman Kesalahan Situs Web

Middle of Nowhere adalah halaman kesalahan 404 yang dibuat untuk situs web sebuah organisasi riset. Halaman 404 muncul ketika halaman web yang diminta tidak tersedia, dan desain ini mengubah momen tersebut menjadi kunjungan ke tempat-tempat imajiner. Lanskap yang ditampilkan dihasilkan oleh generative adversarial network, sebuah model pembelajaran mesin yang dilatih menggunakan ribuan foto lanskap nyata dari berbagai belahan dunia. Hasilnya adalah tempat-tempat yang tidak ada di mana pun. Halaman ini dibangun sebagai situs web responsif, dengan tujuan menjadikan pengalaman tersesat di dunia daring terasa tenang dan menarik.

The Recognition

About the A' Design Award Perak

Middle of Nowhere Halaman Kesalahan Situs Web adalah pemenang A' Design Award Perak, pengakuan yang sangat bergengsi yang diberikan kepada desain kelas atas yang indah dan mengesankan. Pemenang Perak adalah karya yang sangat cemerlang dan sangat kreatif yang menggambarkan keahlian, bakat, dan ketajaman luar biasa para desainernya. Middle of Nowhere Halaman Kesalahan Situs Web diharapkan menjadi karya yang menakjubkan, etalase keahlian, sangat profesional, dan sangat inovatif. Desain pemenang A' Design Award Perak ini adalah penemuan yang sangat menonjol dan dikagumi yang bermanfaat bagi dan memajukan batas-batas seni, sains, desain, dan teknologi. Middle of Nowhere Halaman Kesalahan Situs Web adalah kreasi yang sangat dicemburui yang membangkitkan keinginan, membawa perasaan positif, dan memercikkan keheranan dan kekaguman.

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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