Middle of Nowhere Ikhasi Lephutha Lewebhusayithi ngu-Yijia Xie

Umdwebo Middle of Nowhere Ikhasi Lephutha Lewebhusayithi ngu-Yijia Xie ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2022 Umklomelo Wesiliva we-A' Design Award Esigabeni Somncintiswano se-Iwebhu.

IsilivaIwebhu· 2022

Middle of Nowhere Ikhasi Lephutha Lewebhusayithi

ngu Yijia Xie

Iklayenti: IBM Research

Umnqobi we-Umklomelo Wesiliva we-A' Design Award Esigabeni se-Iwebhu

62,247

Umnqobi Womklomelo Oqinisekisiwe

Qinisekisa Isimo Somklomelo se-#137451

Buka ku-A' Design Award Isitatimende Sabezindaba Ibheji Yomklomelo

Imibala

Ukuklama

Mayelana ne-Middle of Nowhere Ikhasi Lephutha Lewebhusayithi

Middle of Nowhere iyikhasi lephutha 404 elidalelwe iwebhusayithi yenhlangano yocwaningo. Ikhasi 404 livela lapho ikhasi lewebhu elicelwe lingekho, futhi lo mklamo uguqula lowo mzuzu ube ukuvakasha ezindaweni ezicatshangelwayo. Izindawo ezingemuva ezikhonjisiwe zenziwe inethiwekhi ye-generative adversarial, imodeli yokufunda komshini eyaqeqeshwa ngezinkulungwane zezithombe zezindawo zangempela ezivela emhlabeni wonke. Imiphumela iyizindawo ezingekho ndawo. Ikhasi lakhiwe njengewebhusayithi esabelayo, futhi inhloso iwukwenza ukulahleka ku-inthanethi kube ukuthula futhi kuhehe.

Ukuqashelwa

Mayelana ne-Umklomelo Wesiliva we-A' Design Award

Middle of Nowhere Ikhasi Lephutha Lewebhusayithi iwinile uMklomelo Wesiliva we-A' Design Award, ukwaziswa okuhloniphekile ngokungajwayelekile okunikezwa imiklamo esezingeni eliphezulu, ebukekayo nethinta kakhulu. Abawinile beSiliva yimisebenzi egqamile kakhulu nedala kakhulu ebonisa ubungcweti obuphawulekayo, italente nobuhlakani babaklami babo. Middle of Nowhere Ikhasi Lephutha Lewebhusayithi ilindeleke ukuba ibe ngumsebenzi omuhle wesibonelo, onobungcweti obuphawulekayo nezinto ezintsha ezijulile. Lo mklamo owinile uMklomelo Wesiliva we-A' Design Award uyinto entsha ebonakala kakhulu nethakazelisayo esiza futhi isunduza imingcele yobuciko, isayensi, ukuklama nobuchwepheshe. Middle of Nowhere Ikhasi Lephutha Lewebhusayithi iyinto enomhawu omkhulu kuyo evusa izifiso, ilethe imizwa emihle futhi ivuse ukumangala nokuxakeka.

Ngemuva Kokuklama

Iphakheji Yabezindaba

Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.

Izici Ezihlukile: 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.
Izilinganiso Nokupakisha: Responsive website construction
Amathegi: Machine Learning, Artificial intelligence, Website design, GAN
Ubuchwepheshe Bokukhiqiza: Generative adversarial network/Machine learning/UI Design
Inselele Yokudweba: 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.
Ucwaningo: 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.
Ugqozi: 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.
Ubude Bephrojekthi: 2021.11-2022.02 New York
Ukuhamba Kokusebenza: 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.
Amalungu Eqembu: Design Lead/Art Director: Yijia Xie
Amakhredithi Ezithombe: IBM Research/Yijia Xie