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Ranil Nanayakkara/Wired.com

5 Terrifyingly Huge Spiders

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Ranil Nanayakkara/Wired.com

These massive spiders can’t be dispatched by a shoe or rolled-up newspaper and are sure to give you nightmares—even if you're not an arachnophobe.

1. Poecilotheria rajaei

Wired.com

This recently announced new species of tarantula, found in Northern Sri Lanka, has a leg span of 8 inches—that's roughly the size of your face! It’s part of an arboreal group called tiger spiders, which are indigenous to India and Sri Lanka. A dead male specimen of P. rajaei—which was distinguished from other tiger spiders by the markings on its legs and abdomen—was first presented to scientists in October 2009 by a local villager; a survey of the area revealed enough females and juveniles that scientists are confident they've found a new species. “They are quite rare,” Ranil Nanayakkara, co-founder of Sri Lanka’s Biodiversity Education and Research, told Wired. “They prefer well-established old trees, but due to deforestation the number have dwindled and due to lack of suitable habitat they enter old buildings.” P. rajaei was named after a police officer who helped scientists navigate the area where it was found.

2. Theraphosa blondi

Wikimedia Commons

Though Theraphosa blondi is called the Goliath Bird-eating spider, it doesn’t actually eat birds. Reportedly, it got its name when an explorer saw it eating a hummingbird, but like other tarantulas, its diet consists mainly of insects, frogs, and rodents. But we’ll forgive you if you’re not comforted by that fact. After all, this spider can have a leg span nearly a foot across—the size of a dinner plate—and weigh up to 6 ounces, making it the largest spider in the world by mass. Its fangs, up to an inch long, can break human skin. (Though venomous, its poison won't bring down a human.) Native to South America, the spider makes noise by rubbing the bristles on its legs together; the sound can be heard up to 15 feet away.

3. Heteropoda maxima

National Geographic

Yet another reason to avoid dark caverns: Discovered in a cave Laos in 2011, the Giant Huntsman spider has a leg span of 12 inches. It’s just one of over 1000 species of Huntsman spider. These speedy arachnids can chase down their prey with ease and have legs that extend forward, like a crab’s.

4. Golden Silk Orb-Weaver

Wikimedia Commons

These arachnids, of the genus Nephila, have a fearsome relative: the largest fossilized spider ever found is an ancestor. Females of this family of spiders, which are found around the world, can have leg spans up to 6 inches (the males are smaller). Though these Orb-Weavers typically eat large insects, some individuals in Australia have been snapped eating snakes and birds that got caught in their strong, 5-foot-diameter webs.    

5. Phoneutria nigriventer

Wikimedia Commons

Sure, Phoneutria nigriventer's nearly 6-inch leg span is scary—but there's something else about this spider that makes it even more terrifying: Its venom, a neurotoxin that can be fatal to humans. In fact, along with P. fera, this spider is the most toxic on Earth (thankfully, a good antivenom exists). Native to Central and South America, P. nigriventer is also called the Brazilian Wandering Spider, for its tendency to roam the forest at night, and the banana spider, both because it hides in banana plants during the day and sometimes stows away in shipments of the fruit. When threatened, the spider lifts its front two pairs of legs and sways side to side, like so:

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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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