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Hollywood Obituaries

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Sadly, the funeral directors to the stars have been busy the past two weeks. Here's a quick tribute to some of the celebrities we've lost recently.

Art Linkletter (July 17, 1912 "“ May 26, 2010)

Born in Moose Jaw, Saskatchewan, Canada, and given up when only a few weeks old, Gordon Arthur Kelly was adopted by Mary and Fulton Linkletter, a pair of evangelical street preachers. The family was so poor, Art would later recall, that the Great Depression had no impact on them at all. The Linkletters moved to San Diego when Art was five years old. After he graduated from college, he got into broadcasting, first in radio and then in the fledgling television industry, and he went on to host long-running shows People Are Funny and House Party.


The poverty of his youth made an impression on Linkletter and he became a savvy businessman, forming a company and investing in everything from the hula-hoop (when it was still only available in Australia) and Milton Bradley's board game Life (Art's photo is on the $100,000 bill) to sheep ranches and oil wells. He also struck a deal with Walt Disney that gave him the concession rights on all cameras and film sold in Disneyland.

Gary Coleman (February 8, 1968 "“ May 28, 2010)

Gary Wayne Coleman was born with a congenital kidney disease that rendered his right kidney malformed and useless at birth. His overworked left kidney gave out when he was just five years old, which led to years of dialysis and an eventual kidney transplant. The immunosuppressant drugs he took stunted his growth, and the accompanying steroids gave him a permanent chubby-cheeked appearance. If you're a turn-lemons-into-lemonade type person, you might theorize that Coleman's illness led to his eventual stardom. Mingling with adults in the dialysis unit matured him beyond his years, and when he was nine years old he could still pass for a preschooler, so the adorable child-like tyke with the snappy adult repartee found plenty of work in Chicago-area TV commercials.

He landed a semi-regular role on the late-night talk show spoof America 2Night, where he was credited as "Little Wayne" Coleman. He played an adorable black tyke hoping to be adopted by a white man (series host Barth Gimble, who was played by Martin Mull). Hmmm"¦.sounds like a possible premise for a sitcom, no?

Dennis Hopper (May 17, 1936 "“ May 29, 2010)

Dennis Hopper's personal feelings toward his two Easy Rider co-stars were made painfully public during the viewing for the 1998 Academy Awards at Elaine's, the famed Upper East Side New York bistro. When Peter Fonda's name was announced as a Best Actor nominee and clips of Ulee's Gold were shown onscreen, Hopper remained silent and unexpressive. When Jack Nicholson's face graced the screen in scenes from As Good As It Gets, Hopper banged his fists on the table and whooped with enthusiasm. Hopper and Fonda have been feuding for decades over multiple issues, from the screenwriting credit and royalties for Easy Rider to the fate of the Captain America motorcycle.


Hopper said he stopped drinking and using drugs in the mid-1980s. According to his New York Times obituary, "he followed that change with a tireless phase of his career in which he claimed to have turned down no parts." He appeared in six films released in 2008 and at least 25 over the past 10 years.

Rue McClanahan (February 21, 1934 "“ June 3, 2010)

Rue will always be remembered as one of TV's Golden Girls (she was the "devastatingly beautiful" one), but all that cheesecake on the lanai was just one small portion of a very long and successful career. Prior to landing the role of Blanche Devereaux, McClanahan spent six years playing naive Vivian Harmon (opposite Bea Arthur) on Maude. Norman Lear first spotted Rue working in an off-Broadway play and hired her for a one-off spot on his hit All in the Family. That episode, "The Bunkers and the Swingers," is considered one of the classics of the series. Edith answered a friendship ad in the "swap" section of a magazine she found on the subway. Thinking they were a lonely couple looking for new friends, Edith invited them over for pie and coffee. Hilarity ensued when it finally dawned on her (and Archie) that their new acquaintances were looking to swap a lot more than recipes"¦

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iStock // Ekaterina Minaeva
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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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8 Common Dog Behaviors, Decoded
May 25, 2017
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Dogs are a lot more complicated than we give them credit for. As a result, sometimes things get lost in translation. We’ve yet to invent a dog-to-English translator, but there are certain behaviors you can learn to read in order to better understand what your dog is trying to tell you. The more tuned-in you are to your dog’s emotions, the better you’ll be able to respond—whether that means giving her some space or welcoming a wet, slobbery kiss. 

1. What you’ll see: Your dog is standing with his legs and body relaxed and tail low. His ears are up, but not pointed forward. His mouth is slightly open, he’s panting lightly, and his tongue is loose. His eyes? Soft or maybe slightly squinty from getting his smile on.

What it means: “Hey there, friend!” Your pup is in a calm, relaxed state. He’s open to mingling, which means you can feel comfortable letting friends say hi.

2. What you’ll see: Your dog is standing with her body leaning forward. Her ears are erect and angled forward—or have at least perked up if they’re floppy—and her mouth is closed. Her tail might be sticking out horizontally or sticking straight up and wagging slightly.

What it means: “Hark! Who goes there?!” Something caught your pup’s attention and now she’s on high alert, trying to discern whether or not the person, animal, or situation is a threat. She’ll likely stay on guard until she feels safe or becomes distracted.

3. What you’ll see: Your dog is standing, leaning slightly forward. His body and legs are tense, and his hackles—those hairs along his back and neck—are raised. His tail is stiff and twitching, not swooping playfully. His mouth is open, teeth are exposed, and he may be snarling, snapping, or barking excessively.

What it means: “Don’t mess with me!” This dog is asserting his social dominance and letting others know that he might attack if they don’t defer accordingly. A dog in this stance could be either offensively aggressive or defensively aggressive. If you encounter a dog in this state, play it safe and back away slowly without making eye contact.

4. What you’ll see: As another dog approaches, your dog lies down on his back with his tail tucked in between his legs. His paws are tucked in too, his ears are flat, and he isn’t making direct eye contact with the other dog standing over him.

What it means: “I come in peace!” Your pooch is displaying signs of submission to a more dominant dog, conveying total surrender to avoid physical confrontation. Other, less obvious, signs of submission include ears that are flattened back against the head, an avoidance of eye contact, a tongue flick, and bared teeth. Yup—a dog might bare his teeth while still being submissive, but they’ll likely be clenched together, the lips opened horizontally rather than curled up to show the front canines. A submissive dog will also slink backward or inward rather than forward, which would indicate more aggressive behavior.

5. What you’ll see: Your dog is crouching with her back hunched, tail tucked, and the corner of her mouth pulled back with lips slightly curled. Her shoulders, or hackles, are raised and her ears are flattened. She’s avoiding eye contact.

What it means: “I’m scared, but will fight you if I have to.” This dog’s fight or flight instincts have been activated. It’s best to keep your distance from a dog in this emotional state because she could attack if she feels cornered.

6. What you’ll see: You’re staring at your dog, holding eye contact. Your dog looks away from you, tentatively looks back, then looks away again. After some time, he licks his chops and yawns.

What it means: “I don’t know what’s going on and it’s weirding me out.” Your dog doesn’t know what to make of the situation, but rather than nipping or barking, he’ll stick to behaviors he knows are OK, like yawning, licking his chops, or shaking as if he’s wet. You’ll want to intervene by removing whatever it is causing him discomfort—such as an overly grabby child—and giving him some space to relax.

7. What you’ll see: Your dog has her front paws bent and lowered onto the ground with her rear in the air. Her body is relaxed, loose, and wiggly, and her tail is up and wagging from side to side. She might also let out a high-pitched or impatient bark.

What it means: “What’s the hold up? Let’s play!” This classic stance, known to dog trainers and behaviorists as “the play bow,” is a sign she’s ready to let the good times roll. Get ready for a round of fetch or tug of war, or for a good long outing at the dog park.

8. What you’ll see: You’ve just gotten home from work and your dog rushes over. He can’t stop wiggling his backside, and he may even lower himself into a giant stretch, like he’s doing yoga.

What it means: “OhmygoshImsohappytoseeyou I love you so much you’re my best friend foreverandeverandever!!!!” This one’s easy: Your pup is overjoyed his BFF is back. That big stretch is something dogs don’t pull out for just anyone; they save that for the people they truly love. Show him you feel the same way with a good belly rub and a handful of his favorite treats.

The best way to say “I love you” in dog? A monthly subscription to BarkBox. Your favorite pup will get a package filled with treats, toys, and other good stuff (and in return, you’ll probably get lots of sloppy kisses). Visit BarkBox to learn more.

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