The Late Movies: Slow Motion

Relax. It's almost Friday. Take a deep breath. You've made it another week. As you let the calming intake of air settle you down, check out some of these awesome slow motion videos that should help remind you to take it easy.

Here's a golf ball slamming into a steel plate.

Here are some fast animals showing off their skills in very slow motion.

A slow motion slap to the face.

Here is a series of people getting punched in the face in slow motion. Wait for the girl under the water.

A slow motion water balloon to the face.

Every wondered what a sneeze looks like in super slow motion set to Schubert? Wonder no more.

Slow motion of a surfer catching a wave.

Sparks fly off the flint, the fluid catches, a flame is born.

A slow motion lightning strike. Each time you think it's over, it keeps going.

And finally, just for fun, here's a guy trying to cut a soccer ball in half with an axe. Enjoy!


New AI-Driven Music System Analyzes Tracks for Perfect Playlists

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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