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I "albo wszystko, albo nic".
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nothing lasts forever
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regularbread:

scrawnyflannelman:

dduane:

astrofyre:

gargoame:

akireyta:

mikaisyuu:

yungcosmonauts:

neural-entropy:

colormebowie:

did-you-kno:

NASA created retro travel posters for different locations in our solar system in hopes of inspiring young people to imagine a future where common space travel is a possibility. 

Source

these are really important to me

behind this 100% where do I buy prints

These are free for download and print! The files are 20x30 inches. I plan on emailing this one to my local print shop.

Originally posted by thatjoeyfella

i have these on my wall, and i guarantee, they are SPECTACULAR (and yep, CC-licensed, so you’re good to print them locally)

We have these framed in our aerospace senior design lounge!

IVE BEEN LOOKING FOR SPACE THEMED PRINTS THIS IS AMAZING

So gorgeous.

Neat!

I really fucking love NASA for this.

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New paint colors invented by neural network

fieldbears:

annleckie:

lewisandquark:

So if you’ve ever picked out paint, you know that every infinitesimally different shade of blue, beige, and gray has its own descriptive, attractive name. Tuscan sunrise, blushing pear, Tradewind, etc… There are in fact people who invent these names for a living. But given that the human eye can see millions of distinct colors, sooner or later we’re going to run out of good names. Can AI help?

For this experiment, I gave the neural network a list of about 7,700 Sherwin-Williams paint colors along with their RGB values. (RGB = red, green, and blue color values) Could the neural network learn to invent new paint colors and give them attractive names?

One way I have of checking on the neural network’s progress during training is to ask it to produce some output using the lowest-creativity setting. Then the neural network plays it safe, and we can get an idea of what it has learned for sure.

By the first checkpoint, the neural network has learned to produce valid RGB values - these are colors, all right, and you could technically paint your walls with them. It’s a little farther behind the curve on the names, although it does seem to be attempting a combination of the colors brown, blue, and gray.

By the second checkpoint, the neural network can properly spell green and gray. It doesn’t seem to actually know what color they are, however.

Let’s check in with what the more-creative setting is producing.

…oh, okay.

Later in the training process, the neural network is about as well-trained as it’s going to be (perhaps with different parameters, it could have done a bit better - a lot of neural network training involves choosing the right training parameters). By this point, it’s able to figure out some of the basic colors, like white, red, and grey:

Although not reliably.

In fact, looking at the neural network’s output as a whole, it is evident that:

  1. The neural network really likes brown, beige, and grey.
  2. The neural network has really really bad ideas for paint names.

Burble Simp.

Stanky Bean.

Rose Hork.

Stargoon.

T U R D L Y

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a-place-of-worship:

Rachel Cook

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t. sokolovskaya

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Zadura
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With an aesthetic that reminds of the universe of Sin City, the American designer Burton Rast explores the architecture of San Francisco through a series of 100 photographs. For his pictures taken and edited with a simple iPhone, Burton Bast chose the black and white, which he contrasts to the extreme in order to emphasize the shapes, the lines and the curves of the city. A beautifulproject to follow on Instagram.
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sincerely
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