2015 ACM Europe Council Election Slate
(For the term of 1 July 2015 – 30 June 2019)
A pdf offering all candidate bios and statements in one document (arranged in alphabetical order by candidate's last name), may be downloaded for printing or you can click on the candidate’s name below for his or her respective bio and statement.
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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.