(An Adaptation of my 2019 Thesis paper for my MFA in Design and Technology at The New School, Parsons School of Design) A thank you to my Thesis advisors, Marisa Jahn and Loretta Wolozin. And a huge thank you to The Studies in Tamil Studio Archives and Society. Abstract: What is the aesthetic and analytical potential for machine learning to reveal semantic or visual patterns from large photographic archives? What are the challenges…

A branch of a Christmas tree An Acorn A purple potato A chicken wing A blueberry muffin A condom Aluminimum foil A ziplock bag full of unidentifiable white liquid A leaf A whole fish head A piece of poop A small stone A poopsicle (frozen) A bunch of sand (Jacob Riis) A drop of melted ice-cream A snickers wrapper A legion of ants A spikey fallen tree nut commonly known as a “sweet gum ball” A feather A half of a french fry A slice of pizza A tuft of grass A paper receipt A tumbleweave A crab leg An egg shell A brussel sprout A cough drop A clump of fur A stick Another stick And another stick