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The Quick 10: 10 Amazing Discoveries by Kids

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It’s all over the news the past couple of days: some astronomers spend a lifetime looking for a supernova, but a 10-year-old-girl found one on her first try. Here’s Kathryn Gray’s story and the stories of nine other talented (or lucky) kids who have made important discoveries at shockingly young ages.

1. Kathryn Gray was checking out some images her dad had taken on New Year’s Eve, comparing them to previous pictures of the same location to see if anything had changed. Spotting a difference, she asked her dad if she had found a supernova. He told her it looked pretty good and sent the images off to be analyzed. It was confirmed the next day, making Miss Gray (whose middle name is Aurora, by the way) the youngest person to ever discover a supernova.

2. Matthew Berger’s dad was working on an archaeological dig in South Africa last April and brought nine-year-old Matthew along for the ride. Perhaps bored with his dad’s digging, Matthew wandered about 15 yards away to do a little investigating of his own – and discovered the collarbone of a little boy roughly two million years older than him. It ended up being one of the most complete sets ever found, with another amazingly intact set believed to be the boy’s mother discovered right next to it.

3. Some people dream of discovering a cache of ancient doubloons buried in the sand – this toddler actually did it. So it wasn’t exactly doubloons on a beach, but it was a 500-year-old pendant worth about $4 million in a British field. James Hyatt and his dad were out messing around with metal detectors in a field when James’ detector “went beep beep beep” (his words), uncovering the rare find.

4. Sometimes a nature walk turns up more than leaves and bugs. That was the case in 2009, when a preschooler in Maynard, Mass., was looking for cool rocks and found himself a plummet instead. Archaeologists believe plummets were once used about 4,000 years ago to weigh down fishing nets. Marshall, the five-year-old who found it, was pretty impressed with its age: “It’s like 70 years old. I wasn’t there. … [Maybe] when they had it, there were dinosaurs and volcanoes!”

5. Most 15-year-old boys are thinking about girls and driver’s licenses… and OK, 15-year-old Tony Hansberry probably thinks of those too, but when he’s not, he’s discovering a medical technique to make hysterectomies less invasive. Hansberry, a student at the Darnell Cookman School of the Medical Arts, found a way to do post-surgery stitching that would lessen the chance of harm or risk to the patient.

6. Chlorofluorocarbons (CFCs) are bad news for the environment. Luckily, 13-year-old Larry Caduada is on the case. In 2006, Larry found that a substance in celery called selinene that can be used as a coolant instead of the environmentally-unfriendly Freon. He even published a paper about it called "Selinene: An Organic Alternative to Chlorofluorocarbon as Coolant and Refrigerant.”

7. Giving Kathryn Gray competition in the astronomical discovery category is Shay Bloxton. Although Shay is about five years older, her 2010 discovery of a pulsar is still pretty impressive. The high school sophomore was participating in a program with the National Radio Astronomy Observatory when she found the pulsar. And that’s not the only amazing discovery to come out of the program – in 2009, another high school student found a rotating radio transient, an object similar to a pulsar.

8. Five-year-old Emelia Fawbert was helping her dad at an excavation a couple of years ago when she turned up a vertebra bigger than her head. Although the excavation turned up a couple of other bones as well, Emelia’s was the best. It once belonged to a giant rhinoceros that roamed the Gloucestershire area of England about 50,000 years ago.


9. Kids find bugs every day, but the furry moth little Katie Dobbins found on the windowsill in her house was no ordinary moth - it was an Euonymus Leaf Notcher, native to Asia. That may not seem unusual until you hear that Katie lives in the U.K. where the moth had never been sighted before. Six-year-old Katie was said to have been very excited about all of the hubbub surrounding her find.


10. Four-year-olds and sharp objects are usually things to keep far from one another, but this time, it worked out beautifully. The son of a Denali National Park ranger, the boy was playing near Teklanika River when he turned up a barbed object that ended up being an arrow point made of caribou antler. It was uncertain how ancient the piece was, but some estimates placed it up to 1,100 years old.

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iStock // Ekaterina Minaeva
technology
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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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Stephen Missal
crime
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New Evidence Emerges in Norway’s Most Famous Unsolved Murder Case
May 22, 2017
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A 2016 sketch by a forensic artist of the Isdal Woman
Stephen Missal

For almost 50 years, Norwegian investigators have been baffled by the case of the “Isdal Woman,” whose burned corpse was found in a valley outside the city of Bergen in 1970. Most of her face and hair had been burned off and the labels in her clothes had been removed. The police investigation eventually led to a pair of suitcases stuffed with wigs and the discovery that the woman had stayed at numerous hotels around Norway under different aliases. Still, the police eventually ruled it a suicide.

Almost five decades later, the Norwegian public broadcaster NRK has launched a new investigation into the case, working with police to help track down her identity. And it is already yielding results. The BBC reports that forensic analysis of the woman’s teeth show that she was from a region along the French-German border.

In 1970, hikers discovered the Isdal Woman’s body, burned and lying on a remote slope surrounded by an umbrella, melted plastic bottles, what may have been a passport cover, and more. Her clothes and possessions were scraped clean of any kind of identifying marks or labels. Later, the police found that she left two suitcases at the Bergen train station, containing sunglasses with her fingerprints on the lenses, a hairbrush, a prescription bottle of eczema cream, several wigs, and glasses with clear lenses. Again, all labels and other identifying marks had been removed, even from the prescription cream. A notepad found inside was filled with handwritten letters that looked like a code. A shopping bag led police to a shoe store, where, finally, an employee remembered selling rubber boots just like the ones found on the woman’s body.

Eventually, the police discovered that she had stayed in different hotels all over the country under different names, which would have required passports under several different aliases. This strongly suggests that she was a spy. Though she was both burned alive and had a stomach full of undigested sleeping pills, the police eventually ruled the death a suicide, unable to track down any evidence that they could tie to her murder.

But some of the forensic data that can help solve her case still exists. The Isdal Woman’s jaw was preserved in a forensic archive, allowing researchers from the University of Canberra in Australia to use isotopic analysis to figure out where she came from, based on the chemical traces left on her teeth while she was growing up. It’s the first time this technique has been used in a Norwegian criminal investigation.

The isotopic analysis was so effective that the researchers can tell that she probably grew up in eastern or central Europe, then moved west toward France during her adolescence, possibly just before or during World War II. Previous studies of her handwriting have indicated that she learned to write in France or in another French-speaking country.

Narrowing down the woman’s origins to such a specific region could help find someone who knew her, or reports of missing women who matched her description. The case is still a long way from solved, but the search is now much narrower than it had been in the mystery's long history.

[h/t BBC]

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