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Flower Study

Digital artwork featuring a flower study created with machine learning, integrating 500 years of painting history into the petals.

About

The petals of the flowers in this artwork contain assimilated machine learned paintings of 500 years painting history. The results of the machine learning were further made unrecognizable and trivial in this flower arrangement. Copyrights vanishing through the assimilation. Just as there's no claim on the idea of making a flower study.

Year

2021

Material

Sold

Dimensions

120 x 85 cm

Modern art piece depicting flowers with petals assimilated from 500 years of machine-learned paintings, highlighting the intersection of technology and art.
Abstract artwork of a flower study where petals contain elements from a century-spanning machine learning process.

Flower Study was made as a challenge to make something aesthetically pleasing to anyone. Securely managing colors, light and depth. Thereby gaining the freedom to focus on whatever we want to create.

Contemporary art featuring a floral arrangement, with petals incorporating assimilated machine-learned art from historical paintings.
AI-generated artwork of a flower study, blending historical painting techniques into a modern digital arrangement.

Nature itself however after all these years is still not triumphed in beauty by the artificial. However the intersection point is coming closer and closer the more detailed we can make the digital. This intersection point could mean two things. We knoz that energy is a finite source and one of the first constants in our physical framework. In that moment we either lost information along the way in recreating reality, or we found a more efficient way to organize reality.

Contemporary digital creation of a flower study, merging advanced machine learning techniques with traditional painting elements.

or we found a more efficient way to organize reality

Victory in Purgatory

Contemporary artwork depicting the beauty of surrender and the struggle of adapting to changing external conditions.