Production and Distribution Schedule
(TOTAL = 3-5 WKS. FOR PRODUCTION + 4 WKS. FOR THIRD CLASS MAIL= 7-9 WKS.)
- Editor sends newsletter with a submission cover sheet (sample follows) to appropriate SIG Staff Liaison at ACM headquarters.
- Headquarters checks for completeness and scans nontechnical material. Headquarters determines the print run. Headquarters may supply fillers (house ads, calls for papers, etc.) to secure appropriate page count.
Corrections, if any, are made and if necessary, the editor or chair is contacted. Some problems that can occur include misnumbered pages, volumes, and issues, poor quality copy, and missing or incorrect information regarding ACM. The newsletter is held until all problems are resolved and the newsletter is complete. (0.5-2 WEEKS)
- The newsletter is sent to the printer. The front and inside covers of some newsletters are typeset at the printer. ACM headquarters proofs what the printer has typeset. (0-.5 WEEK)
- The printer then photographs, prints and binds the newsletter. (2.5 WEEKS)
- One week prior to scheduled mail date, membership and subscriber mailing labels are run at ACM and sent to printer. ACM prepares separate labels for mailing the "hot off the press" copies to editors and chairs.
- Issues are mailed via:
Third class bulk mail within the U.S. (4 WEEKS) or
Second class bulk mail within the U.S. (1-3 WEEKS)*
U.S. Surface mail to foreign addresses
Foreign freight surface, where overseas members have paid an extra fee for the faster delivery
Air printed matter, where overseas members have paid an extra fee for aster delivery
*Eleven SIGs currently have been approved by the U.S. Post Office for second class mailing privileges. This mail status provides quicker, less expensive service. Please see "Postage" in Section V. Budgeting for further information.
SIG Editors Manual
Updated November 1993
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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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