Posted by John Wilkes, Principal Software EngineerGoogle has a strong interest in promoting high quality systems research, and we believe that providing information about real-life workloads to the academic community can help.In support of this we published a small (7-hour) sample of resource-usage information from a Google production cluster in 2010 (research blog on Google Cluster Data). Approximately a dozen researchers at UC Berkeley, CMU, Brown, NCSU, and elsewhere have made use of it.Recently, we released a larger dataset. It covers a longer...
Tuesday, 29 November 2011
Wednesday, 2 November 2011
Discovering Talented Musicians with Acoustic Analysis
Posted on 08:00 by Unknown

Posted by Charles DuHadway, YouTube Slam Team, Google Research In an earlier post we talked about the technology behind Instant Mix for Music Beta by Google. Instant Mix uses machine hearing to characterize music attributes such as its timbre, mood and tempo. Today we would like to talk about acoustic and visual analysis -- this time on YouTube. A fundamental part of YouTube's mission is to allow anyone anywhere to showcase their talents -- occasionally...
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