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Wikimedia Commons

Mother Goose

Original image
Wikimedia Commons

For years, every time we so much as touch a toe out of state, I’ve put cemeteries on our travel itinerary. From garden-like expanses to overgrown boot hills, whether they’re the final resting places of the well-known but not that important or the important but not that well-known, I love them all. After realizing that there are a lot of taphophiles (cemetery and/or tombstone enthusiasts) out there, I’m finally putting my archive of interesting tombstones to good use.

Here, friends, is a lesson to regularly backup your files: My laptop was stolen in 2011, and although I had an external hard drive that wasn't taken, my backup history was spotty at best. As a result, I lost at least six months worth of pictures, including our April trip to Boston. Although we were there to watch my sister-in-law run the marathon, I made our entire vacation party traipse over to the Granary Burying Ground on Tremont Street to visit the likes of Paul Revere, Sam Adams, and yes—Mother Goose. Because of the stolen laptop, sadly, this is not my personal picture of Mother Goose’s grave. But it also may not really be Mother Goose’s grave, so I guess it’s fitting.

So, here lies Mary Goose, wife of Isaac. After Mary died at the young age of 42, Isaac married a woman named Elizabeth Foster Goose. Elizabeth had a daughter, also named Elizabeth. The younger Elizabeth married a printer/publisher named Thomas Fleet, who, in 1719 or 1720, published a collection of the stories his mother-in-law told to his wife and her siblings when they were but wee goslings. Side note: Should you ever spot an ancient-looking book called Songs for the Nursery, or; Mother Goose's Melodies for Children at a garage sale, snap that sucker up.

But where does wife #1, Mary, enter the picture? Well, because Isaac is buried next to Mary, and because there is no other gravestone for Elizabeth Foster Goose, it’s assumed that she was buried in the family plot sans headstone (the cheapskates). This was apparently pretty common—in fact, although there are 2300 headstones in the Granary Burying Ground, historians believe at least 5000 people are buried there. Since Mary Goose's grave is as close as admirers can get to the woman they believe to be Mother Goose, she’s the wrongful recipient of coins and other tokens of affection.

Oh, and one more minor falsehood: French texts from as early as 1626 reference stories from “mere l’oye”—Mother Goose—meaning that Elizabeth Foster Goose, born in 1665, couldn’t possibly have been the Mother Goose. But, as they say, why let the facts stand in the way of a good story—or a good gravestone? 

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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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Opening Ceremony
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These $425 Jeans Can Turn Into Jorts
May 19, 2017
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Opening Ceremony

Modular clothing used to consist of something simple, like a reversible jacket. Today, it’s a $425 pair of detachable jeans.

Apparel retailer Opening Ceremony recently debuted a pair of “2 in 1 Y/Project” trousers that look fairly peculiar. The legs are held to the crotch by a pair of loops, creating a disjointed C-3PO effect. Undo the loops and you can now remove the legs entirely, leaving a pair of jean shorts in their wake. The result goes from this:

501069-OpeningCeremony2.jpg

Opening Ceremony

To this:

501069-OpeningCeremony3.jpg

Opening Ceremony

The company also offers a slightly different cut with button tabs in black for $460. If these aren’t audacious enough for you, the Y/Project line includes jumpsuits with removable legs and garter-equipped jeans.

[h/t Mashable]

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