2015 ACM SIG Elections

The 2015 ACM SIG Elections are being conducted by Election Services Corporation (ESC) for the Special Interest Groups SIGACCESS, SIGACT, SIGAPP, SIGBED, SIGBio, SIGCHI, SIGDA, SIGecom, SIGEVO, ACM SIGGRAPH, SIGITE, SIGMETRICS, SIGMIS, SIGOPS, SIGPLAN, SIGSOFT, and SIGWEB.

On 2 April 2015, members of the following SIGs (who were in good standing as of 12 March 2015) were sent voting information from ESC: SIGACCESS, SIGACT, SIGAPP, SIGBED, SIGBio and SIGITE.

On 13 April 2015, members of the following SIGs (who were in good standing as of 24 March 2015) were sent voting information from ESC: SIGecom, SIGEVO, ACM SIGGRAPH, SIGMETRICS, SIGMIS, and SIGOPS.

On 30 April 2015, members of the following SIGs (who were in good standing as of 9 April 2015) were sent voting information from ESC: SIGCHI, SIGDA, SIGPLAN, SIGSOFT, and SIGWEB.

If you have not received email from Election Services Corporation, please contact acmsighelp@electionservicescorp.com.

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. 

ACM Case Studies

Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.