Leo Isikdogan is a researcher, engineer, and artist based in California. He has a Master's degree focused on computer vision for art analysis and a PhD from the Laboratory for Image and Video Engineering at The University of Texas at Austin.

Currently, Isikdogan works as a machine learning engineer at Apple. His practice spans a broad range of disciplines, including artificial intelligence, computer vision, computational photography, image processing, and augmented reality.

In a city of about a million residents, trillions of pixels are transferred in a second over the internet if not more. As online video consumption increases worldwide, it is raining pixels every second, every minute, and every hour of every day in densely populated areas. This artwork depicts what a literal pixel rain would look like in such a city. It was created using creative algorithms and an AI art model that was exposed to trillions of pixels over the course of its training process.

This ERC-721 token has been certified by Verisart https://verisart.com/works/b7f6ec92-a0d3-41fe-8dac-1f099d25b769

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Contract Address: 0xe49B9eb62EFbc9945564414A7d5fe45911d67505

Token Standard: ERC-721

Blockchain: Ethereum