Thursday, 8 June 2017
Creative Coding Amsterdam co-founder Sabrina Verhage made an extraordinary visualization of 1372 vibrators scraped from sex toy webshops. The image was put together using ofxCcv; machine-learning algorithms designed to identify faces. The vibrators were identified and then arranged according to t-distributed Stochastic Neighboring Embedding, or tSNE. This is a complex method of approaching AI where machines learn to differentiate between different items within a category. The rubber dicks are then visualized according to what makes them similar – and what makes them different. The result is an uncomfortably- beautiful rendering of vibrators that looks like a pornographer’s vision of the world’s…
This story continues at The Next Web
