Chapter Publications

The ACM Publications Board is responsible for the overall ACM Publications Program. It sets the policies governing all ACM publications.

ACM publishes the following genres: journals, transactions, magazines, newsletters, proceedings and oral histories. Journals, transactions, and magazines are published under the direct oversight of the Publications Board. All proposals for new publications in these three genres are reviewed by the Publications Board. The process of initiating publications like these, broadly referred to as "ACM journals", is described here: http://www.acm.org/publications/newjournals

The Publications Board has delegated oversight responsibility to the ACM SIGs for publication of SIG-sponsored proceedings and SIG newsletters. The SIGs make their own policies within the overarching framework set by the Publications Board.

Similarly, the ACM History Committee oversees the Oral Histories published in the ACM Digital Library.
Chapters may publish newsletters. Titles of newsletter should not include terms that are used to identify other genres. Titles (or subtitles) of a chapter newsletter are typically of the form "Newsletter of the {ACM Chapter Name}." In addition to "Newsletter" itself, terms like "Bulletin," "Forum," "News," "Notes," "Notices," "Pointers," and "Exchanges" can be used.

ACM has created a new standard Chapter logo. This is the logo that should be used on your newsletter cover and on your chapter website.

If a chapter sponsors or co-sponsors a conference or workshop, it may apply to the ACM International Conference Proceedings Series (ICPS) if it wishes to publish the proceedings of that event in the ACM Digital Library. See: http://www.acm.org/publications/icps-series

If you have any questions about starting up a publication for your newsletter, please contact Sunita Jaswal, local_activities@hq.acm.org.

Lifelong Learning

ACM offers lifelong learning resources including online books from Safari, online courses from Skillsoft, webinars on the hottest topics in computing and IT, and more.

techpacks

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. 

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