What Color is this Dress: Solved With Science! [Video]

Over the past 24 hours, people have been raging madly on my Facebook feed about the color of a dress. I just couldn’t believe it. All I saw was a white and gold dress, but apparently, plenty of people saw it as black and blue.

So if you’re wondering about what the truth is, here’s a video explaining the whole thing with SCIENCE!

And yes, the dress is indeed black and blue.

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And if you think this post isn’t nerdy enough, here you go:

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[AsapScience]

Raiders: The Story of the Greatest Fan Film Ever Made [Trailer]

“Raiders: The Greatest Fan Film Ever Made” is a documentary that tells the story of three 11-year-olds (in 1982) that decide to remake Raiders of the Lost Ark.

It took them 7 turbulent years that tested their resolve, strained their friendships, and nearly burned down their parents house. They completed every scene except one… the airplane scene. 33 years later, the friends reunite to finally finish the childhood dream. But is it easier to film a whole movie as kids… or one scene as adults?

The documentary will first be released at SXSW 2015 on Saturday, March 14, and for those of us who can’t attend, hopefully on Youtube or on the official site at a later date.

[Raiders: The Greatest Fan Film Ever Made | SXSW 2015]


This “Red Sonja” Cosplay by “It’s Raining Neon” is Amazing [Pics]

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Considering the insane cold wave we’ve been passing through recently over here in North America, I wouldn’t recommend wearing it outside for more than 5 minutes though.

Costume, Model, and Photography by It’S Raining Neon. Be sure to check out more of her work over at her Deviantart page and to follow her on Facebook!

This is probably a little different than what you are use to seeing when you think Red Sonja. But this is my take on her, my own translation of the barbarian babe. I became a fan of her from Gail Simone’s writing, I don’t think any other incarnations of the character, or her story, quite get it right like her’s did.

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[Source: It’s Raining Neon (Devianrtart) | It’s Raining Neon on Facebook]

How Astronauts Eat Cheeseburgers in Space

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Back in 1985, Mexican astronaut Rodolfo Neri Vela brought some tortillas in space aboard the space shuttle Discovery, and ever since then, NASA astronauts have been using them to “contain” their food while in zero gravity.

Pictured above and below, you can see astronaut Terry W. Virts eating a cheeseburger composed of tortilla, a broken up beed patty, cheese paste, tomato paste, and some Russian mustard. OM NOM NOM NOM.

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[Source: Terry W. Virts on Twitter | Via Neatorama]

Have You Seen The Boston Snow Tunnel for Cyclists?

What do you do when you are a cyclist in Boston right now and need to ride your bike, but the streets and sidewalks have about three feet of snow? Well, you build a snow tunnel, of course.

These folks aren’t professional engineers. As far as anyone can tell, they simply saw a whopping pile of snow, grabbed shovels and started digging. This kind of “get ‘er done” attitude inspires you to give up on government agencies and just do it yourself. Of course, it also brings to mind newscasts that begin, “Several cyclists were killed today when….”

Seem some people trashed it over the weekend. It is Boston, after all, and us massholes do like to destroy things. The city itself may be responsible, though, to keep themselves from being sued if the thing collapsed in by chance. Still a cool way to show the world nothing can stop a true Bostonian. Not even ten feet of solid snow.

[Image via Telegraph, Story Via Wired]

Skynet is Real: Computer Learns To Play Atari Games

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A Google-backed experiment showed a computer was able to learn how to play 49 Atari 2600 games and, in many cases, while outperforming a human player. It’s in some ways more impressive than even chess-playing supercomputers.

The likes of Deep Blue learn from their experiences playing, but were originally programmed with the rules of chess. The computer used by Google’s DeepMind project was not told anything about the games other than that the idea was to get the highest score. It had to figure everything else out from looking at the movement of the pixels and then seeing what effects its control inputs had on the score.

The researchers compared the computer’s performance against that of human players as well as checking what happened with completely random input controls. The self-learning computer performed at above human level in 29 of the 49 games, though that was based on the threshold of achieving 75 per cent of the highest score achieved by a “professional human games tester”. In three cases its performance was more than 1,000 percent better: Breakout, Boxing and Video Pinball.

However, it struggled with the likes of Ms Pac-Man and Asteroids, while it’s performance on Montezuma’s Revenge was no better than issuing random commands.

The researchers noted that the subject and genre of the game didn’t seem to make much difference to the computer’s performance. Instead the results seemed, perhaps logically enough, to be linked to how far in advance a player needed to plan the best strategy before executing it.

In a study published in Nature, the researchers said the experiment demonstrated that:

…a single architecture can successfully learn control policies in a range of different environments with only very minimal prior knowledge, receiving only the pixels and the game score as inputs, and using the same algorithm, network architecture and hyperparameters on each game, privy only to the inputs a human player would have.

They added that to further test whether a computer could recreate the learning abilities of the human brain, they’d need to run studies which had a wider range of information to deal with, of vastly varying importance, and see if it could figure out which inputs really mattered.

The long-term goal is to produce robotic devices that are better able to cope with unexpected events that aren’t part of their original programming.