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Middle of Nowhere Veebisaidi veaLeht by Yijia Xie
Middle of Nowhere Veebisaidi veaLeht by Yijia Xie
Middle of Nowhere Veebisaidi veaLeht by Yijia Xie
Middle of Nowhere Veebisaidi veaLeht by Yijia Xie
Middle of Nowhere Veebisaidi veaLeht by Yijia Xie

Hõbe Veeb · 2022

Middle of Nowhere Veebisaidi veaLeht

by Yijia Xie

  • Hõbeauhind A' Design Award 2022 in Veeb
  • CLIENT: IBM Research
  • Estimated Number of Design Views: 61,340
  • Verification code C0E6DFE925 · Verify this award
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About Middle of Nowhere Veebisaidi veaLeht

Middle of Nowhere on 404 vealeht, mis on loodud ühe uurimisorganisatsiooni veebisaidi jaoks. 404 leht ilmub siis, kui soovitud veebileht ei eksisteeri, ja see disain muudab selle hetke külaskäiguks väljamõeldud paikadesse. Kuvatavad maastikud on loodud generatiivse võistleva võrgu abil – see on masinõppe mudel, mida on treenitud tuhandete fotode põhjal, mis kujutavad tõelisi maastikke üle kogu maailma. Tulemuseks on paigad, mida ei eksisteeri kusagil. Leht on üles ehitatud kohanduva veebisaidina ning eesmärk on muuta internetis eksinud olemine rahulikuks ja kaasahaaravaks.

About the Hõbeauhind A' Design Award

Middle of Nowhere Veebisaidi veaLeht on Hõbeauhinna A' Design Award võitja, ülimalt prestiižikas tunnustus, mis antakse tipptasemel, suurepärastele ja muljetavaldavatele disainidele. Hõbevõitjad on ülimalt säravad ja erakordselt loovad tööd, mis illustreerivad oma disainerite silmapaistvat kogemust, annet ja teravmeelsust. Middle of Nowhere Veebisaidi veaLeht peaks olema imeline, eeskujulik töö, mis on märkimisväärselt professionaalne ja sügavalt uuenduslik. See Hõbeauhinna A' Design Award võidudisain on väga tähelepanuväärne, imetletud leiutis, mis toob kasu ning nihutab kunsti, teaduse, disaini ja tehnoloogia piire. Middle of Nowhere Veebisaidi veaLeht on laialdaselt kadestatud looming, mis äratab soove, tekitab positiivseid tundeid ning süütab hämmastust ja imestust.

Press Kit

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.
Image Credits
IBM Research/Yijia Xie

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