The second video work as part of the ongoing research project on Transitional Forms, “trans_form v2” is visual digital poetry, a meditation on the transformation of both living bodies and society. Realised by using AI, Generative Adversarial Network (GAN) machine learning framework. 

GANs are algorithmic architectures that use two neural networks, pitting one against the other (thus the “adversarial”) to generate new, synthetic instances of data that can pass for real data. 

In biology within the theory of evolution, Transitional Forms are used to describe the intermediate forms of all organisms, both living and extinct, which are ultimately connected by an unbroken chain of descent with modification to a common ancestral trunk among single-celled organisms in the distant past. As a thought evolves, all the in-between forms become Transitional Forms. Of course, if we think of this as a process that has no beginning and no end, everything exists in continuous Transitional Forms and a constant change. As it is in a biological dimension, as well as a social and psychological dimension. 

Part of the research project on algorithms exploring transitional forms in the practice of Generative Art.

SEE EDITIONS