Outstanding Chapter School Service Submissions
Thank you to our panel of judges for agreeing to help us out!
We hope that this set up will allow for a smooth and efficient judging process. Following each list of submissions is the rubric for judging that specific category. If you have any questions or concerns throughout this process, please do not hesitate to contact Sunita Jaswal, firstname.lastname@example.org.
Listed below is a brief description of what we expect, followed by each chapters' submission.
Outstanding Chapter School Service - 7 Chapter Submissions
Chapters should apply to the Outstanding Chapter School Service category if they have made significant contributions to their own schools through one major service project or a series of smaller projects. They should tell us about projects that have helped fellow students, their department, or their school in general. They should explain each project, how many people participated, and how it helped their school.
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.
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