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8 Paintings Every Art Lover Must See in Person

Posters and prints just don’t do great works of art justice—especially these. Take a trip to the right museum’s gallery and have a one-on-one with these masterpieces, or wait for the right tour and jump at them.

1. “Wheatfield with Cypresses” by Van Gogh

Anything by Van Gogh is worth seeing in person. The thick swirling brushstrokes make Van Gogh’s scenes look three-dimensional. In Wheatfield with Cypresses, the clouds look like they’re about to float off the canvas. You'll find it in New York City.

2. “A Sunday Afternoon on the Island of La Grande Jatte” by Seurat

Everyone’s seen this image, but it’s a different world in person. Found in Chicago, the painting is massive (almost 7x10 feet). If you step up close, the park will dissolve into a giant stew of dots, revealing a painting technique called pointillism.

3. “Paris Street; Rainy Day” by Gustave Caillebotte

While you’re visiting Chicago, check this one out, too. At 7x9 feet, the life-size painting feels like a portal letting you step onto the streets of Paris.

4. “Water Lilies” by Monet

The wonderful thing about Monet’s series of Water Lilies is that he made so many of them (approximately 250!). They’re spread across the globe and the colors are to die for. Some of the paintings are so big they can consume an entire wall or room.

5. “Garden of Earthly Delights” by Hieronymus Bosch

Painted in the 15th century, the painting is packed with so much symbolism that scholars are still stumped by what it all means. Some of its scenes resemble a surrealist painting, making Bosch’s masterpiece look 400 years ahead of its time. Visit it in Madrid.

6. “The Night Watch” by Rembrandt

The largest painting on this list (12x14 feet), it’s also Rembrandt’s most famous. Visit it in Amsterdam. You might want to hurry, though—the painting has been slashed with knives twice and even sprayed with acid. So see it while it lasts!

7. “The Kiss” by Gustav Klimt

The gold leaf exterior makes this painting well worth the visit. Inspired by the brilliant gold found on Byzantine mosaics, Klimt was the first painter to use gold and silver leaf. The result? Irreproducible beauty. See it in Vienna

8. “Liberty Leading the People” by Eugene Delacroix

Delacroix once said, “If I haven’t fought for my country, at least I’ll paint for her.” So he commemorated the Revolution of 1830 by painting Lady Liberty, who wields a tricolor flag and a musket. If the image looks familiar, there’s a reason: the Statue of Liberty is modeled after it. Find it in Lens, France.

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Original image
iStock // Ekaterina Minaeva
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Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
Original image
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!

Original image
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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