Chris Dorland’s solo exhibition Latent Stack takes its title from the layered computational processes through which contemporary images are produced. In machine learning systems, visual data passes through successive operations that compress and transform information before an image ever appears. These hidden layers—known as latent representations—contain the structural conditions from which images emerge. Dorland’s paintings engage this upstream terrain, translating the logic of these operations into material form through accumulations of pigment, abrasion, and interference.
