Gints Gabrāns - Artist 

Grand Final Opening, 2020
(Augmented Reality App SAN. Download www.san.lv)

Grand Opening of the Finale 2020

Artificial intelligence-generated exhibition openings, using 2000 photographs from Latvian contemporary art exhibition openings (LCCA, KIM, RIBOCA, LNMA etc.) as the basis for training the neural network.

Grand Opening of the Finale 2020

Info center / Exhibition - Art Station Dubulti

Grand Opening of the Finale 2020

Grand Opening of the Finale 2020

Exhibition at the Art Station Dubulti, in the city space and in the form of an augmented reality SAN project throughout the territory of Latvia.

Grand Opening of the Finale 2020 Grand Opening of the Finale 2020

Dzintari Concert Hall, Jomas street, Jurmala

GAN (Generative adversarial network). Latent space

Grand Opening of the Finale 2020 Grand Opening of the Finale 2020

Dzintari Seaside, Jurmala

Grand Opening of the Finale 2020

Grand Opening of the Finale 2020

Grand Opening of the Finale 2020

Grand Opening of the Finale 2020

Info center / Exhibition - Art Station Dubulti


Artificial intelligence-generated exhibition openings, using 2000 photographs from Latvian contemporary art exhibition openings (LCCA, KIM, RIBOCA, LNMA etc.) as the basis for training the neural network.

"Grand Final Opening"

and farewell to the old art world.

Exhibition at the Art Station Dubulti, in the city space and in the form of an augmented reality SAN project throughout the territory of Latvia.

The visual base material for the exhibition comes from  2000 photographs taken at the openings of contemporary Latvian art exhibitions. They have been used as the raw material for training the artificial intelligence neural network, in order to create generative  visions of artificial intelligence.

These newly created images are used in the exhibition works, which allow us not only to be introduced to and enjoy the strangeness of the unfamiliar view but can also help us to see and discover hidden patterns and structures in our man-made world.

The work process uses neural networks: self-taught systems that accumulate experience (in this case, recognition of images from exhibitions) and genetic algorithms that create original populations (by selecting images from exhibition openings), and from crossing population generations. Through random mutations, new generations are created with the selection of the best candidates. The process is evolutionary and iterative. The selection is based on artistic subjective criteria. During the machine-learning process, work with images also uses already trained neural networks.