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Hollywood is too white, too straight and too male. Year after year, studies keep showing this trend, and now, there’s another one that goes into even more detail about the lack of representation of various minority groups in media.

Researchers from the Media, Diversity, & Social Change (MDSC) Initiative at USC Annenberg this month released a report showing just how bad things are, from the unacceptable sexualization of girls in movies to the virtual absence of characters with disabilities. 

A few snapshots: When it comes to speaking characters, the ratio of men to women in films is about 2.3 to 1. In the top 100 films of 2015, there were only 32 LGBT characters (and only 18 films had an LGBT character at all). Nearly three-quarters of all the speaking characters in the films were white. And only 2.4% of speaking characters in the top films were depicted with a disability. 

Yikes. We have so much work to do. 

6

FaceGen

Deep Learning coding experiment from Michael Flynn explores generating human faces using Deconvolution neural networks:

One of my favorite deep learning papers is Learning to Generate Chairs, Tables, and Cars with Convolutional Networks. It’s a very simple concept – you give the network the parameters of the thing you want to draw and it does it – but it yields an incredibly interesting result. The network seems like it is able to learn concepts about 3D space and the structure of the objects it’s drawing, and because it’s generating images rather than numbers it gives us a better sense about how the network “thinks” as well. 

I happened to stumble upon the [Radboud Faces Database][RaDF] some time ago, and wondered if something like this could be used to generate and interpolate between faces as well.

The results are actually pretty exciting!

Michael explores the various processes and their outputs - one of the more interesting avenues is ‘drunk’ mode, where the processing parameters are random, unsuitable to the task yet create fascinating results:

You can find out more (with links to the code) here

anonymous asked:

Have you heard the theory that the gems are actually a type of incredibly advanced supercomputer, with the gem itself where the data is stored (much like the nucleus of a cell) and their 'holographic' bodies actually being made of nanobots? There's an in-depth video about this theory on YouTube. But then again, the same person made a video trying to scientifically define Bill Cipher so...

I think that there’s some aspect to that which is consistent with what we’ve seen in the show. The integrity of the data in a gem is the key to a gem’s survival. But then again, the integrity of our DNA is the key to our survival. I’m just saying that regardless of how it’s framed, our entire concept of a “computer” is an approximation of a human brain, and how it functions. So the idea that there are similarities between computers and anthropomorphic lifeforms isn’t totally surprising! :D

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