[tmp65535]

Here is the first (?) application of deep learning to improve the pornography experience, an Android app called Melondream published in early 2017:

http://driftwheeler.com

Surprisingly, almost 5 years after being published, this app still serves thousands of user sessions per day. That rate continues to slowly grow.

Except for its user interface, the whole app (client and server) was written in Go (https://pkg.go.dev/golang.org/x/mobile/cmd/gomobile).

It uses densenet feature vectors (https://arxiv.org/abs/1608.06993) to allow "touch-to-search" (ha!) with a fractional norm distance metric (https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.23...).

Citation: Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks (https://arxiv.org/abs/1406.6909).

[vmception]

How does it improve the pornography experience? The description and examples on that website don't make it obvious. The Register article linked seems to help but I really didn't get that from the landing page or example video.

edit: now I understand, it is a continuous slideshow of erotica, and you can tap any part of the image to be taken down a path of similar images. that's kind of cool.

I thought it would have had something to do with decensoring, but nevermind.

Does BlueStacks work on an Apple Silicon machine? I don't have an android device.