Middle of Nowhere Ojú-ìwé Àṣìṣe Wẹ́ẹ̀bù láti ọwọ́ Yijia Xie

Middle of Nowhere Ojú-ìwé Àṣìṣe Wẹ́ẹ̀bù láti ọwọ́ Yijia Xie jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2022 Àmì-ẹ̀yẹ Fàdákà A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ojú-ìwé Ayelujára.

FàdákàAyelujára· 2022

Middle of Nowhere Ojú-ìwé Àṣìṣe Wẹ́ẹ̀bù

látọ̀wọ́ Yijia Xie

Oníbàárà: IBM Research

Aṣẹ́gun Àmì-ẹ̀yẹ Fàdákà A' Design Award nínú Ẹ̀ka Ayelujára

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Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

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Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa Middle of Nowhere Ojú-ìwé Àṣìṣe Wẹ́ẹ̀bù

Middle of Nowhere jẹ́ ojú-ìwé àṣìṣe 404 tí a ṣẹ̀dá fún ojú-òpó wẹ́ẹ̀bù àjọ ìwádìí kan. Ojú-ìwé 404 máa ń farahàn nígbà tí ojú-ìwé wẹ́ẹ̀bù tí a béèrè kò bá sí, ìṣàpẹẹrẹ yìí sì yí àkókò náà padà sí ìbẹ̀wò sí àwọn ibi tí a fojú inú wò. Àwọn ilẹ̀-ìwòye tí a fihàn jẹ́ èyí tí nẹ́tíwọ́kì ìforígbárí adáwòyẹ (generative adversarial network) ṣẹ̀dá, àwòṣe ẹ̀kọ́-ẹ̀rọ tí a kọ́ lórí ẹgbẹẹgbẹ̀rún àwòrán ilẹ̀-ìwòye gidi láti gbogbo àgbáyé. Àbájáde rẹ̀ jẹ́ àwọn ibi tí kò sí níbìkankan. A kọ́ ojú-ìwé náà gẹ́gẹ́ bí ojú-òpó wẹ́ẹ̀bù tí ó lè dáhùn sí ẹ̀rọ oríṣiríṣi, èròngbà náà sì ni láti mú kí sísọnù lórí ayélujára jẹ́ ìdákẹ́jẹ́ẹ́ àti ohun tí ó fani mọ́ra.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Fàdákà A' Design Award

Middle of Nowhere Ojú-ìwé Àṣìṣe Wẹ́ẹ̀bù jẹ́ olùborí Àmì-ẹ̀yẹ Fàdákà A' Design Award, ìdánimọ̀ onípọ̀nlé lọ́nà àrà ọ̀tọ̀ tí a fún àwọn àwòṣe ìpele gíga jùlọ tó dára tó sì ń kan ọkàn. Àwọn olùborí Fàdákà jẹ́ àwọn iṣẹ́ tó ń tàn yòò gidigidi tó sì ní ìṣẹ̀dá púpọ̀ tí wọ́n ń ṣàfihàn ìmọ̀ ìjìnlẹ̀, ẹ̀bùn àti ìmọ̀ràn àwọn olùṣàwòṣe wọn. A retí pé Middle of Nowhere Ojú-ìwé Àṣìṣe Wẹ́ẹ̀bù yóò jẹ́ iṣẹ́ àgbàyanu, àpẹẹrẹ rere, ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun jinlẹ̀. Àwòṣe tó borí Àmì-ẹ̀yẹ Fàdákà A' Design Award yìí jẹ́ ohun ìmúṣẹ̀dá tó hàn gbangba gidigidi tí a mọrírì tó ń ṣe anfàní tó sì ń tì ààlà iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ síwájú. Middle of Nowhere Ojú-ìwé Àṣìṣe Wẹ́ẹ̀bù jẹ́ ẹ̀dá tí ọ̀pọ̀lọpọ̀ ń ṣe ìlara, tó ń jí ìfẹ́ inú, tó ń mú ìmọ̀lára rere wá tó sì ń jí ìyàlẹ́nu àti ìyanu.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: 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.
Ìwọ̀n àti Àpò: Responsive website construction
Àwọn Àkọlé: Machine Learning, Artificial intelligence, Website design, GAN
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: Generative adversarial network/Machine learning/UI Design
Ìpèníjà Àpèsè: 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.
Ìwádìí: 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.
Ìmísí: 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.
Àkókò Iṣẹ́ Àkànṣe: 2021.11-2022.02 New York
Ìlànà Ìṣiṣẹ́: 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.
Àwọn Ọmọ Ẹgbẹ́: Design Lead/Art Director: Yijia Xie
Ìfọwọ́sí Àwòrán: IBM Research/Yijia Xie