Jeb Bush is getting all the millionaires, and Bernie Sanders is getting the small donors — those have been two prominent storylines in the 2016 money race for the presidency.

But what about everyone in between? The Washington, D.C.-based Campaign Finance Institute released data on campaign fundraising, and it paints a fascinating picture — which we decided to make into a literal picture. Here’s how the different candidates’ donation patterns stack up to each other.

How The 2016 Candidates Are Getting Their Money, In 1 Infographic

Image: Alyson Hurt and Danielle Kurtzleben/NPR


Video Segmentation

Online service from Georgia Tech and Google breaks down videos into areas to create data for annotating objects within it (for example, for computer learning).

It also has an interesting visual look, and with a suggestion from stallio I processed FKA Twigs ‘Pendulum’ music video (note - the output video is silent, the original video is embedded below it):

The Video Segmentation Project has been a collaborative effort between Georgia Tech and Google Research to put a state of the art segmentation and annotation system online for other researchers to use. In addition to making this system available online, we have made all of our source code open source and therefore available for you to use if our system does not fulfill your specific needs.

To upload video, you will need a Google account and probably a lot of patience while it renders.

You can find out more about the project here


An image recognition network dreams about every object it knows. Part 2/2: non-animals

Second video from Ville-Matias Heikkilä uses deep-dream like technique to visually reveal a collected neural dataset, this time featuring man-made objects and food:

Network used: VGG CNN-S (pretrained with Imagenet)

There are 1000 output neurons in the network, one for each image recognition category. In this video, the output of each of these neurons is separately amplified using backpropagation (i.e. deep dreaming).

The middle line shows the category title of the amplified neuron. The bottom line shows the category title of the highest competing neuron. Color coding: green = amplification very succesful (second tier far behind), yellow = close competition with the second tier, red = this is the second tier.

Some parameters adjusted mid-rendering, sorry.


The first video (on the animal dataset) can be found here