How do we engage with the rich diversity of the natural world in virtual, digital space?
This project is part of an ongoing exploration of artificial life using deep learning to generate insects as well as their names and anatomical descriptions. The intention is to celebrate the natural diversity of insectile life, not through the precise, sterile digital reproduction of it, but in the form of new specimens that are digital natives.
This project is part of an ongoing exploration of artificial life using deep learning to generate insects as well as their names and anatomical descriptions. The intention is to celebrate the natural diversity of insectile life, not through the precise, sterile digital reproduction of it, but in the form of new specimens that are digital natives.
These do not attempt to impersonate existing insects, but rather embody
an insectile "essence" born from the training of machine learning
algorithms on datasets of existing insects leading to novel, non-human
understandings of the natural. Their diversity and decidedly digital
qualities are in complementary contrast to the unsurpassable creativity
of natural selection but can act as a prism with which to approach new
perspectives and appreciation of the vulnerable, non-human world we too
often take for granted.
This generation of Artificial remnants 2.1 was originally featured online as part of Nvidia’s GTC ‘AI Art Gallery’.
AR2.1 was initially exhibited online at Arebyte.
AR2.1 was initially exhibited online at Arebyte.