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15 Pop Culture-Inspired String Lights to Illuminate the Holidays

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amazon / istock

Whether you’re decorating a tree or lining the walls of your dorm room, string lights are essential. Sure, your traditional bulb light set is classic, but sometimes it pays to branch out. Get creative this season with one (or a few) of these alternate string light sets.

1. TARDIS

Show off your love for Dr. Who with these TARDIS string lights. (We imagine the lights are much bigger on the inside.)

Buy on Amazon.

2. PONIES

Speaking of Dr. Who, you can also get the My Little Pony version of the time traveler, along with a pony named Muffin (known to some fans as “Derpy”).

Buy on Amazon.

3. LEG LAMPS

Instead of placing one lamp in the window, why not fill your home with multiple smaller versions? 

Buy on Amazon.

4. R2D2

With the Star Wars movie right on the horizon, there is no end to sweet merchandise to collect. These R2D2 string lights will look great next to your Darth Vader stocking and Yoda ornament

Buy on Amazon.

5. TURKEYS

Just in time for Thanksgiving: Turkey lights! These might not really count as pop culture-related, but hopefully you can pardon this exception—after all, the president pardons a turkey every year.

Buy on Ooga Lights.

6. SUPERMAN

Feel heroic putting up this Superman light set.

Buy on Amazon.

7. SNOOPY

These Snoopys in Santa garb will be perfect for your next viewing of A Charlie Brown Christmas

Buy on Amazon.

8. DARTH VADER

If R2D2 is not the droid you’re looking for, how about these artistic Darth Vader heads? The LED lights can be used both indoors and out.

Buy on Amazon.

9. MINIONS

Not sick of these little yellow guys yet? Then, you might enjoy these lights inspired by the Despicable Me franchise.

Buy on Amazon.

10. YODA

This is the last Star Wars light set on the list, we promise. You can opt for regular Yodas, or Santa Yodas if you want to be extra festive. 

Buy on Amazon.

11. RED SOLO CUPS

Keep it classy with these red plastic cup string lights. They’re perfect to light up your next game of Flip Cup.

Buy on Amazon.

12. KISS

You can get KISS action figures, so it’s not surprising that you can also get band-branded string lights. They will look great in your van. 

Buy on Amazon.

13. WALKING DEAD

These might seem a little grizzly for a family holiday, but look: They’re red and green for Christmas. Grandma is sure to love them.

Buy on Amazon.

14. BATMAN

These string lights are perhaps more practical than fitting a real bat signal into your home.

Buy on Amazon.

15. MORE ZOMBIES

These Walking Dead lights are even more gruesome than the others. The string of decapitated zombie heads is sure to keep other zombies—and neighbors—away.

Buy on ThinkGeek.

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iStock // Ekaterina Minaeva
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Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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Nick Briggs/Comic Relief
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What Happened to Jamie and Aurelia From Love Actually?
May 26, 2017
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Nick Briggs/Comic Relief

Fans of the romantic-comedy Love Actually recently got a bonus reunion in the form of Red Nose Day Actually, a short charity special that gave audiences a peek at where their favorite characters ended up almost 15 years later.

One of the most improbable pairings from the original film was between Jamie (Colin Firth) and Aurelia (Lúcia Moniz), who fell in love despite almost no shared vocabulary. Jamie is English, and Aurelia is Portuguese, and they know just enough of each other’s native tongues for Jamie to propose and Aurelia to accept.

A decade and a half on, they have both improved their knowledge of each other’s languages—if not perfectly, in Jamie’s case. But apparently, their love is much stronger than his grasp on Portuguese grammar, because they’ve got three bilingual kids and another on the way. (And still enjoy having important romantic moments in the car.)

In 2015, Love Actually script editor Emma Freud revealed via Twitter what happened between Karen and Harry (Emma Thompson and Alan Rickman, who passed away last year). Most of the other couples get happy endings in the short—even if Hugh Grant's character hasn't gotten any better at dancing.

[h/t TV Guide]

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