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8 Beautiful Snow Scenes from Literature

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1. From An American Childhood, Annie Dillard

"Now we sat in the dark dining room, hushed. The big snow outside, the big snow on the roof, silenced our words and the scrape of our forks and our chairs. The dog was gone, the world outside was dangerously cold, and the big snow held the houses down and the people in.

"Behind me, tall chilled windows gave out onto the narrow front yard and the street. A motion must have caught my mother’s eye; she rose and moved to the windows, and Father and I followed. There we saw the young girl, the transfigured Jo Ann Sheehy, skating alone under the streetlight.

"She was turning on ice skates inside the streetlight’s yellow cone of light—illumined and silent. She tilted and spun. She wore a short skirt, as if Edgerton Avenue’s asphalt had been the ice of an Olympic arena. She wore mittens and a red knitted cap below which her black hair lifted when she turned. Under her skates the street’s packed snow shone; it illumined her from below, the cold light striking her under her chin.

"I stood at the tall window, barely reaching the sill; the glass fogged before my face, so I had to keep moving or hold my breath. What was she doing out there? Was everything beautiful so bold?"

2. From Angle of Repose, Wallace Stegner

"Snow blew down the Royal Gorge in a horizontal blur. With Ollie’s sleeping head in her lap and a down comforter around them both, she tried now and then to get a look at that celebrated scenic wonder, but the gorge was only snow-streaked rock indistinguishable from any other rock, all its height and grandeur and pictorial organization obliterated in the storm. The dark, foaming, ice-shored river was so unlike the infant Arkansas that she used to ford on her horse that she didn’t believe in it. The circles that she blew and rubbed on the window healed over in secret ferns of frost."

3. From Seasons at Eagle Pond, Donald Hall

"They seem tentative and awkward at first, then in a hastening host a whole brief army falls, white militia paratrooping out of the close sky over various textures, making them one. Snow is white and gray, part and whole, infinitely various yet infinitely repetitious, soft and hard, frozen and melting, a creaking underfoot and a soundlessness. But first of all it is the reversion of many into one. It is substance, almost the idea of substance, that turns grass, driveway, hayfield, old garden, log pile, Saab, watering trough, collapsed barn, and stonewall into the one white."

4. From “The Dead,” James Joyce

"A few light taps upon the pane made him turn to the window. It had begun to snow again. He watched sleepily the flakes, silver and dark, falling obliquely against the lamplight. The time had come for him to set out on his journey westward. Yes, the newspapers were right: snow was general all over Ireland. It was falling on every part of the dark central plain, on the treeless hills, falling softly upon the Bog of Allen and, farther westward, softly falling into the dark mutinous Shannon waves. It was falling, too, upon every part of the lonely churchyard on the hill where Michael Furey lay buried. It lay thickly drifted on the crooked crosses and headstones, on the spears of the little gate, on the barren thorns. His soul swooned slowly as he heard the snow falling faintly through the universe and faintly falling, like the descent of their last end, upon all the living and the dead."

5. “Winter,” Takarai Kikaku (Trans. Steven D. Carter)

"'It’s mine,' I think –
and the snow seems lighter
on my straw hat."

6. From Ethan Frome, Edith Wharton

"But at sunset the clouds gathered again, bringing an earlier night, and the snow began to fall straight and steadily from a sky without wind, in a soft universal diffusion more confusing than the gusts and eddies of the morning. It seemed to be a part of the thickening darkness, to be the winter night itself descending on us layer by layer."

7. From Marcovaldo: Or the Seasons in the City, Italo Calvino (Trans. William Weaver)

"Marcovaldo learned to pile the snow into a compact little wall. If he went on making little walls like that, he could build some streets for himself alone; only he would know where those streets led, and everybody else would be lost there. He could remake the city, pile up mountains high as houses, which no one would be able to tell from real houses. But perhaps by now all the houses had turned to snow, inside and out; a whole city of snow with monuments and spires and trees, a city that could be unmade by shovel and remade in a different way."

8. From The Magic Mountain, Thomas Mann (Trans. John E. Woods)

"Yet there was a momentary hint of blue sky, and even this bit of light was enough to release a flash of diamonds across the wide landscape, so oddly disfigured by its snowy adventure. Usually the snow stopped at that hour of the day, as if for a quick survey of what had been achieved thus far; the rare days of sunshine seemed to serve much the same purpose—the flurries died down and the sun’s direct glare attempted to melt the luscious, pure surface of drifted new snow. It was a fairy-tale world, child-like and funny. Boughs of trees adorned with thick pillows, so fluffy someone must have plumped them up; the ground a series of humps and mounds, beneath which slinking underbrush or outcrops of rock lay hidden; a landscape of crouching, cowering gnomes in droll disguises—it was comic to behold, straight out of a book of fairy tales. But if there was something roguish and fantastic about the immediate vicinity through which you laboriously made your way, the towering statues of snow-clad Alps, gazing down from the distance, awakened in you feelings of the sublime and holy."

This post originally appeared in 2012.

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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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Name the Author Based on the Character
May 23, 2017
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