Membership Applications, Publications Ads, and House Ads
ACM has developed SIG membership applications and publications ads for each SIG. These ads are good ways of highlighting the SIG and it's products. The ads can also be revenue producers for your SIG. It is recommended to leave blank pages and/or the inside back cover for these ads in each newsletter. A two page proceedings ad can be edited to one page if necessary.
You may designate the positioning of these ads by writing on your submission cover sheet the page number the ad should appear on and/or by putting a blank sheet with your choice of ads in place with the camera-ready copy. The membership applications are updated when dues change or if the SIG leadership requests a change to the descriptions. The proceedings ads are updated throughout the year since proceedings are continually printed. If your page count for your camera-ready copy is not divisible by four, SIG Services will fill the additional pages with these ads. The following pages contain the individual ads that have been prepared for your SIG.
In addition, the ACM Marketing Department provides the SIG newsletter with " house ads" to round off page counts. Examples of house ads include ACM Press Book ads, a variety of ACM member benefit ads, and announcements of new services. The ACM Marketing Department may request ad space in individual newsletters in order to advertise a product or benefit to a select group of members. Your SIG Staff Liaison will call you under these circumstances to request that you set aside space for a specific ad.
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's prestigious conferences and journals are seeking top-quality papers in all areas of computing and IT. It is now easier than ever to find the most appropriate venue for your research and publish with ACM.
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.