SRC Grand Finalists 2012
Hyungsin Kim - Georgia Institute of Technology
Title of Submission: Exploring Technological Opportunities for Cognitive Impairment Screening
Yuan Tian - Auburn University
Title of Submission: Enabling Petascale Data Analysis for Scientific Applications Through Data Reorganization
Title of Submission: Problem Identification for Structural Test Generation: First Step Towards Cooperative Developer Testing
Vanessa Pena Araya - Universidad de Chile
ICSE - 2011
Title of Submission: Test Blueprint: An Effective Visual Support for Test Coverage
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.
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.
Why I Belong to ACM
Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.