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Morning Cup of Links: Judging Cats and Dogs

Why you should teach your kids to talk to strangers. Sometimes a stranger can be a lifesaver.
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Can You Judge A Cat By Its Color? People do tend to assign the same traits to white cats and orange cats, generalizing from experience, but is that discrimination?
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The Science of Dogs. This comic infographic is also based on personal experience with dogs, and we can all agree its conclusions are valid.
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Are you guys ready for "Movember?" Ron Swanson will teach you how to grow a mustache.
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Everything Tom Hanks does is catnip for the internet. Here are his top ten "Internet-Baitable" Moments.
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You can't help but laugh when babies give you the stink-eye, because they're still cute. Here are the contestants and winner of the Evil Baby Glare-Off competition.
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A couple of Italians found a 2,000-tear-old Roman tomb, without even looking for it. How? A cat led them to it.
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Calamari from the deep come to get their revenge on sushi eater in Monster Roll. The only ones who can save us are the badass but always-respectful sushi chefs.
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Can Too Much Caffeine Kill You? Is there ever really such as thing as "too much?"
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3 Hells on Earth. And there are highways leading there, if someone tells you where to go.

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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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