Stanford researchers harnessed AI to generate memes
In a white paper titled “Dank Learning” (yes, really), Abel L. Peirson and E. Meltem Tolunay, the two lead scientists on the project, describe a neural network that ingests, gains an understanding of, and spits out internet in-jokes. The AI consists of a convolutional neural network (CNN) that takes images as inputs and translates them into mathematical representations called vector embeddings (an encoder), and a long short-term memory (LSTM) recurrent neural network (RNN) that creates captions (a decoder).
The verdict: Humans were able to pick out the algorithmically created memes about 70 percent of the time, but graded them fairly evenly on wittiness.
See the full story here: https://venturebeat.com/2018/06/15/stanford-researchers-harnessed-ai-to-generate-memes/