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What a Square Mile of a City's Grid Looks Like Around the World

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An easy way to tell how long a city has been around is to look at it from above: modern cities tend to have wide, even street grids that are easy to navigate by car. Ancient cities like Rome, by contrast, look like a pile of spaghetti from a bird’s eye view. It’s not just an aesthetic difference—it’s fundamentally easier to walk around the small blocks of downtown Manhattan (where the Dutch first established a trading post in 1624) versus the wide lanes of Irvine, California, a master-planned suburb built in the 1960s. To get a better idea, check out these grid maps by UC Berkeley city planning researcher Geoff Boeing (as spotted over on FlowingData).

Boeing’s visualizations compare aerial views of different cities around the world through one-square-mile snapshots, created using an algorithm that pulls from OpenStreetMap. The unified scale of the visualizations makes it easy to quantify how walking around different places feels. City blocks differ in both size and shape. An aerial view of downtown Paris looks like a windshield that just had a bad encounter with a flying rock. A similar view of Portland looks like a chicken-wire fence. If you look closely, you can compare the width of streets and highways:

The maps also show where even the most uniform city grids are interrupted. Since the 1960s, Portland’s dense, walking-friendly blocks have had a giant highway cut through them. Atlanta, too, is a tangle of highways. San Francisco is filled with alleys, as is Tunis.

If you look at all of the grids, you can see the difference between cities that were meticulously planned and those that sprang up organically. Dubai and Sacramento look like they were drawn by a city planner’s pencil, but Osaka and Boston clearly expanded more haphazardly over the centuries. The symmetrical boulevards and diagonal side streets of Paris are the result of the 19th century plans of Georges-Eugène Haussmann, who was hired by Napoleon to help remake the city.

They are all a good reminder that the easiest cities to get around don’t always have the simplest maps. Rome may look like a tangle of winding streets, but that tight network is much easier to traverse than the very few streets that intersect in a square mile of Irvine’s street grid. And from street level, those tiny blocks tend to look a lot more interesting than big suburban intersections.

[h/t FlowingData]

All images courtesy Geoff Boeing

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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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Opening Ceremony
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:


Opening Ceremony

To this:


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]