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From Test Tube to Tavern: London Craft Brewery Uses DNA Testing to Create Bespoke Beer 

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If you’re willing to shell out nearly $31,000 for a bespoke brew, The Drinks Business reports that Meantime Brewing Company, a London-based craft beer company, is now offering customers the chance to create a beer that appeals specifically to their individual flavor profiles by using DNA testing.

Meantime Brewing Company has joined forces with genetics company 23andMe to make custom beverages, which they’re advertising as “the world’s most personalized beer.” Dubbed “Meantime Bespoke,” the service begins with 23andMe’s scientists, who test beer lovers’ saliva samples for hereditary variations in oral taste receptors (which involves a taste gene called TAS2R38). This helps identify genetic variants that may determine whether drinkers are disposed toward certain flavor profiles—think sweetness or bitterness—in beer. (This is reportedly determined in part based on customers’ sensitivity to a bitter compound called 6-n-propylthiouracil.)

Once your genetic makeup is analyzed, Meantime’s brewers will use the scientists’ findings to guide the brewing process. You’ll consult with a brewmaster to contribute feedback, and ensure that the final product is exactly suited to your liking. If you want, you can even partake in the fun by adding hops and grain to the mix and testing it. (To ensure your skills are up to snuff, your commissioning cost also pays for a beer-making course called “The Knowledge.”)

After the brewing process is complete, customers are supplied with more than 2000 pints of customized beer. For an additional fee, they can personalize the packaging design, purchase custom glassware, or have their personalized brew poured in Meantime’s tasting rooms and have kegs sent to their local bar.

So far, there are no testimonials from customers on whether Meantime Bespoke’s science-inspired venture really produces the perfect pint. But according to Meantime, their head brewer, Ciaran Giblin, recently became the world's first person to create his own beer inspired by his DNA flavor profile. He prefers bitter tastes, so he ended up with a hoppy Double IPA.

[h/t The Drinks Business]

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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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