Machine learning puts your dicks in a row — but is it art?


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

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s