“Game-powered machine learning” could make searching for music online easier

When it comes to online music, we really are spoilt for choice. So spoilt it can make uncovering new music to match our tastes or finding a track when we don’t know the artist or song title, a hit and miss affair. Engineers at the University of California, San Diego (UCSD), have developed a new approach called “game-powered machine learning” that they claim is just as accurate as other methods, but is cheaper and has the potential to let users search every song on the web using a text search.

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