Fostering Diversity through Outreach

The ACM community is as diverse as the subfields that comprise computer science, from educators and researchers in academia to practitioners in project management, industrial research, software development, engineering, and application design. This diversity extends to their gender, ethnicity, and geographic location. ACM advocates for these groups, which are often underrepresented, through national and local programs, councils, committees, and events.

ACM-W Council

ACM-W supports, celebrates, and advocates internationally for the full engagement of women in all aspects of the computing field, providing a wide range of programs and services to ACM members and working in the larger community to advance the contributions of technical women.

Richard Tapia Celebration of Diversity in Computing
Tapia brings together students, faculty, researchers, and professionals from all backgrounds and ethnicities to celebrate diversity in computing. The conference is named after Richard Tapia, a mathematician and professor in the Department of Computational and Applied Mathematics at Rice University, who was born to Mexican immigrant parents in Los Angeles, and who has led several programs that have brought recognition to the university's commitment to diversity.

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.

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.

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.