Why Start an ACM Chapter?
The Association for Computing Machinery (ACM), the world's largest educational and scientific computing society, delivers and abundance of resources that advance computing as a science and a profession.
Our local ACM chapters help to retain and recruit those who are interested in computing by providing a forum for discussion, debate, and dialogue about the issues facing our industry today.
ACM Chapters provide a range of activities and services including talks by local practitioners, visits from prominent speakers on the ACM Distinguished Speakers Program circuit, technical and career workshops, field trips to computing installatons, and social activities.
ACM hopes the local chapters will empower ACM Chapter Members and prospective members to become involved in various activities and promote the field of computing and computer science within their communities.
Forming an ACM Chapter helps members focus on:
- Engaging students in stimulating computing activities
- Connecting students with leaders in the field
- Encouraging students to advance the field of computing
- Joining mentoring programs for career opportunities
- Broadening the computing community through ACM
- Networking with other ACM Chapter leaders and members
If you have further questions regarding starting ACM chapter, please contact email@example.com.
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.
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.
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.