Eric Hu Studio / Nike / NikeLab / Packaging / 2018
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I was going to ask AI to create a Yayoi Kusama X Nike shoe drop collab, but it turns out Random.Studio already did it in 2016.
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Broke out the NikeLab ACG 07 KMTR ‘Cool Grey’ and it sadly didn’t rain that day. ☔️ ☀️ #TodaysKicks #Kicks #sneakers #SneakerSlut #sneakerhead #ACG #nike #nikeacg #LA #LAweather #kickstagram #kicksoftheday #acgdaily #losangeles #onmyfeet #nikelab #nikelabacg (at Go Get Em Tiger) https://www.instagram.com/p/CpYfvZOPnnS/?igshid=NGJjMDIxMWI=
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Eric Hu Studio / Nike / NikeLab / Logotype / 2018
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These are high quality essentials tracksuit grey, and you can wash them many times so they do not lose color.
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Matthew williams x Nike lab
At a time when conversations are cropping up across many industries about the role humans will play in an automated future, Nike and Matthew Williams’s project is a test case for a human-computer creative collaboration. Whereas the Atlas Program’s software is able to deduce, for example, that a portion of the upper back is crucial for releasing body heat, the software is not capable of identifying what design response this information necessitates. It could churn out a shirt with a hole in the upper back, but it is likely that no one would buy it.
NikeLab launched the Nike A.A.E. 1.0 t-shirt, a garment that merged Nike’s heat-mapping and knit-patterning technology. Its goal was to correct the disadvantages of wearing one t-shirt all day in the various micro-climates one passes through in everyday life. This algorithmic remake of a deceptively simple design was a major departure point for Williams’s work with Nike. However, in order for more of these computer-generated designs to become mainstream, human designers must act asconduits, translating new forms into an intelligible cultural lexicon. “I think humans will always be great storytellers,” Williams says. “And this storytelling will be necessary for providing an organic texture and figuring out how a design applies in our lives.”
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