Dreamscapes: A Collaboration of Nature, Man, and Machine
My latest work builds upon my previous experiments in computational photography by adding a powerful new graphics tool to my artistic workflow; namely "DeepDream," a technique evolved from Google engineers' desire to visualize the inner workings of Deep Learning artificial intelligence models.
Initial attempts to apply this open-source software to my multi-hundred megapixel panoramic images were unsuccessful as the program quickly ran out of memory and crashed. I was extremely fortunate to be able to enlist two top-notch Silicon Valley engineers to help solve this problem: Joseph Smarr from Google, where the DeepDream code was authored, and Chris Lamb from NVIDIA, manufacturer of the graphics processing units upon which this code most efficiently runs. Joseph and Chris were enthusiastic about this challenge and kind enough to work sporadic nights and weekends on my behalf to get this code to operate successfully on my giant images. I can't thank them enough for their hard work and ingenuity, the fruits of which you can see here. (Find out more about the unique technology behind these images by reading this blog post by Joseph Smarr and/or by watching this short video.)
Dreamscapes represent my attempt to remind myself (and others) that we are all actively participating in a shared waking dream, a dream that is on the precipice of considerable amplification by rapid advances in artificial intelligence and virtual reality.
(Read curatorial assessment written by Milagros Bello, Ph.D., curator and member of the International Art Critics Association (AICA-PARIS) and/or watch this video conversation between artist and curator.)