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It's Not Easy Potty Training A Cow

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Getty Images

Cows poop. No kidding, right? It’s news to me, and probably to a lot of other city slickers out there, though, that they poop between 10 and 15 times a day. Plus, they pee around 10 times a day.

All that waste adds up pretty quickly (and piles up, too, if the cow doesn’t move around a lot), and causes some significant health and environmental problems on dairy farms. Ammonia and nitrogen get released and contribute to air pollution. Standing in their own filth can make the cows sick or give them hoof problems. Dirty, poop-crusted cows also mean that the farmer loses time cleaning them off before each milking. If he doesn’t at least keep the udders clean, then there’s the risk of milk contamination or lower milk quality.

Training the cows to go in a certain spot or at a certain time would go a long way towards controlling all that poop and curbing these problems. And that’s just what three Canadian scientists set out to do in a study published earlier this month. They knew that dairy farmers often had problems cleaning their cows’ feet because as soon as the animals stepped into the footbath, they’d go to the bathroom and contaminate the water. They also knew that some cows kept in barn stalls had been successfully conditioned, with mild electric jolts, to back up before pooping to keep the waste out of the stall. They combined these two ideas and wondered if water could be used as a stimulus to get cows kept in more open housing systems or in pastures to only do their business in specific places.

They ran four different tests with 12 Holstein dairy cows. In the first, the cows walked through either an empty or full footbath while their “eliminative behavior” was dutifully recorded. In the second, the cows stood still in either an empty footbath, a full one, or one with running water. In the third, the cows stood in an empty bath and either had water, air, or nothing sprayed at their feet. The fourth test was a repeat of the first.

Overall, none of the stimuli reliably got the cows to relieve themselves. More cows went in the full footbath (67 percent) than the empty one (42 percent) in the first test, but there was almost no difference between the two when the test was repeated at the end of the experiment. The researchers also noticed that defecation and urination generally decreased in each test as the days wore on. All this leads them to think that the cows pooped not so much because of the water itself but because the novel experience of getting in the footbath was frightening. The trick to getting cows to go on command, then, might be scaring the crap out of them.

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iStock // Ekaterina Minaeva
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
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]