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(via https://www.youtube.com/watch?v=TcWPiHjIExA)

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Play John Conway's Game of Life right now in your browser.

Game of Life zum Ausprobieren im Browser

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(via https://www.youtube.com/watch?v=3OO4BNtXZQs)

Musikalische Improviation mit Game of Life und dem Glitch Sequencer

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(via https://www.youtube.com/watch?v=VLtR-SI2lt0)

GlitchDS - Ein Game of Life Musikprogramm für den Nintendo DS

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(via https://www.youtube.com/watch?v=C2vgICfQawE)

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All Sid Meier's Civilization Official Trailers Since 1996 - 2016

All Sid Meiers Civilization Games Trailers Starting With Civilization 2 Trailer Civilization 3 Trailer Civilization III: Play the World Trailer Civilization ...

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What do machines sing of? - Martin Backes - Official Website

About „What do machines sing of?“ is a fully automated machine, which endlessly sings number-one ballads from the 1990s. As the computer program performs these emotionally loaded songs, it attempts... Read The Rest →

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Google: Auto-Vervollständiger soll Hillary Clinton im Wahlkampf unterstützen

Versucht der Suchmaschinen-Gigant, über die Funktion zur Autovervollständigung der Sucheingabe die Anfragen zu manipulieren?

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Believe (Cher), 1998

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"Piece of Me" is a song recorded by American singer Britney Spears for her fifth studio album, Blackout (2007)

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Auto-Tune

Notizen zu Autotune für die Sitzung

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'Dot Net'.  Directed by Ben Jones "An idealised vision of the interaction between man and technology."

This video is the first in a series of commissions by Warp Records for Channel 4’s Random Acts.

 Music is taken from the Battles album 'La Di Da Di'

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A film by Jon Rafman and Daniel Lopatin Soundtrack by Oneohtrix Point Never

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Dating app algorithms inspire a video for London chanteuse Emmy the Great. Read the feature on NOWNESS - http://bit.ly/1LO9LMI

“Singer-songwriter Emmy the Great talks about the concept behind her dating software-led collaboration with London-based artist Daniel Swan: “My research for the video began with shopping and dating algorithms, then moved on to narrative software—such as Wordsmith and Narrative Science—which takes data and turns it into narratives for e-commerce and reporting. Artist Daniel Swan and I decided to 'ask' an algorithm to write the video for us. "With the help of Nicolas Seymour-Smith, a programmer and artist, we built a machine that generates music-video treatments using natural language processing algorithms. We taught the machine what a music video plot was by feeding it synopses of music videos—classics like "Thriller" and "Scream", and modern favourites from Lady Gaga and Katy Perry. The machine began generating its own plots based on what it had learned, and 'Algorithm' was born.”

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Das Video “wurde in Partnerschaft mit Interlude und dem in LA ansässigen Think-Thank PRETTYBIRD kreiert. Interlude’s interaktive Videotechnologie ermöglicht Fans dabei zuzuschauen, wie der Songtext der Single in der Google Suchmaske eingetippt wird, während man gleichzeitig zwischen den verschiedenen Google Suchfunktionen aus Bildern, News und Videos switchen kann, um verschiedene Inhalte unter den Suchergebnissen zu entdecken.”

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Gender Specific Listening

One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining…

“Summary

This study confirms what we expected – that there are differences in gender listening. For mainstream listening about 30% of the artists in a typical male’s listening rotation won’t be found in a typical female listening rotation and vice versa. If we happen to know a listener’s gender and nothing else, we can improve their listening experience somewhat by replacing artists that skew to the opposite gender with more neutral artists.  We can even improve the listening experience for a listener that we know absolutely nothing about – not even their gender – by replacing gender-polarized artists with artists that are more accepted by both genders.

Of course when we talk about gender differences in listening, we are talking about probabilities and statistics averaged over a large number of people. Yes, the typical One Direction fan is female, but that doesn’t mean that all One Direction fans are female.  We can use gender to help us improve the listening experience for a brand new user, even if we don’t know the gender of that new user. [...]”