SGB March 8, 2010 Meeting

Viability Reviews and New SIG Proposals

SIGACCESS
slides  details
 
SIGAda
slides  details
 
SIGACT
slides  details
 
SIGCAS
slides  details
 
SIGCSE
slides  details
 
SIGDA
slides  details
 
SIGDOC
slides  details
 
SIGGRAPH
slides  details
 
Proposals
Social Computing
IHI
Bioinformatics
Game

 

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Prediction-Serving Systems

ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.