zz_b63e_4400_2019-04-10-12-44-30 upsized_for_catalog.jpg
zz_b63e_4400_2019-04-10-12-44-30 upsized_for_catalog.jpg

Learning Nature (b63e,4400-19,4,10 ,12,44,30), 2019

CHF 2,500.00

by David Young

Archival inkjet print

Ed. 1/1 + 1 AP

Dimensions: 18 x 18 cm (image size), 30 x 30 cm (print size)

Also available as a unique NFT

PRINT: 2,500.00 CHF

NFT: 3 ETH

If you are interested in this work and would like to pay in ETH, please email us at info@katevassgalerie.com and transfer the amount to our wallet HERE.

Description:

Using AI & machine learning the computer was trained with photographs that I took of flowers at my farm in Bovina, NY during the summer of 2018. It then generated its own images. Nothing that emerges is accurate, but the work isn’t asking for accuracy — it’s asking for the machine to build its own unique vision of the natural world.

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by David Young

Archival inkjet print

Ed. 1/1 + 1 AP

Dimensions: 18 x 18 cm (image size), 30 x 30 cm (print size)

Also available as a unique NFT

PRINT: 2,500.00 CHF

NFT: 3 ETH

If you are interested in this work and would like to pay in ETH, please email us at info@katevassgalerie.com and transfer the amount to our wallet HERE.

Description:

Using AI & machine learning the computer was trained with photographs that I took of flowers at my farm in Bovina, NY during the summer of 2018. It then generated its own images. Nothing that emerges is accurate, but the work isn’t asking for accuracy — it’s asking for the machine to build its own unique vision of the natural world.

by David Young

Archival inkjet print

Ed. 1/1 + 1 AP

Dimensions: 18 x 18 cm (image size), 30 x 30 cm (print size)

Also available as a unique NFT

PRINT: 2,500.00 CHF

NFT: 3 ETH

If you are interested in this work and would like to pay in ETH, please email us at info@katevassgalerie.com and transfer the amount to our wallet HERE.

Description:

Using AI & machine learning the computer was trained with photographs that I took of flowers at my farm in Bovina, NY during the summer of 2018. It then generated its own images. Nothing that emerges is accurate, but the work isn’t asking for accuracy — it’s asking for the machine to build its own unique vision of the natural world.