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Can Disney-Pixar do no wrong?

Disney-Pixar hit another homerun over the weekend weekend with the opening of "Cars." Can a cartoon about cars really be that good? The animated flick was #1 with $62 million. And as Pixar churns out success after success, I'd assumed that these movies have become easy to create because of computer animation. I was pretty suprised to read the following on IMDB:

 The film's animators drew up over 43,000 sketches for designs of the cars.

Even with a network of processors that ran four times faster than the ones on "The Incredibles" (2004) each frame of "Cars" took an average of 17 hours to render.

Some free advice to Kevin Costner: To end your streak of bad box office #s, try to read for a Pixar film.

Some free advice for Pixar: To maintain your streak of great box office #s, don't hire Kevin Costner.

More facts here.

 

 

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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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