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The element that dare not speak its name

You guys really got into the spirit of naming the new element! We had 20-plus entries, all of them amusing. I was tempted to pick "Colbertium" (would you pronounce the T in that?), seeing as how I'm a ginormous fan, but I think he's probably over having things named for him. My husband also suggested, based on the picture at left, "Dippindotium -- the element of the future." But I couldn't ignore the groundswell of support for a particular entry that was both amusing and scientifically accurate, seeing as how, like all inert gases except helium, the new element should really have a name that ends in "-on." On top of that, it also managed to honor the discoverers. Element 118 won't be named by scientists until its existence is verified by other labs -- they've nicknamed it "ununoctium" for now -- but for our part, we're gonna call it "Livermoron."

Hat tips and high fives to Tom for thinking of this brilliant moniker. Of course, it doesn't really matter unless we make it official -- so please go sign our online petition. If we get more than 100 signatures, we'll notify Lawrence Livermore National Laboratory (we really will!) and see what they can do.

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New AI-Driven Music System Analyzes Tracks for Perfect Playlists
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Whether you're planning a bachelorette party or recovering from a breakup, a well-curated playlist makes all the difference. If you don't have time to pick the perfect songs manually, services that use the AI-driven system Sonic Style may be able to figure out exactly what you have in mind based on your request.

According to Fast Company, Sonic Style is the new music-categorizing service from the media and entertainment data provider Gracenote. There are plenty of music algorithms out there already, but Sonic Style works a little differently. Rather than listing the entire discography of a certain artist under a single genre, the AI analyzes individual tracks. It considers factors like the artist's typical genre and the era the song was recorded in, as well as qualities it can only learn through listening, like tempo and mood. Based on nearly 450 descriptors, it creates a super-accurate "style profile" of the track that makes it easier for listeners to find it when searching for the perfect song to fit an occasion.

Playlists that use data from Sonic Style feel like they were made by a person with a deep knowledge of music rather than a machine. That's thanks to the system's advanced neural network. It also recognizes artists that don't fit neatly into one genre, or that have evolved into a completely different music style over their careers. Any service—including music-streaming platforms and voice-activated assistants—that uses Gracenote's data will be able to take advantage of the new technology.

With AI at your disposal, all you have to do as the listener is decide on a style of music. Here are some ideas to get you started if you want a playlist for productivity.

[h/t Fast Company]

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