Professional Chapter Resources and Benefits
The following benefits are available to all types of ACM Professional Chapters; they include:
- Administrative Interface - allowing you to manage your chapter’s member roster, update your chapter’s contact information, and much more!
- Chapter Web Tools – ACM offers chapters the following web tools: website hosting, wikis and blogs. For more information please go to: http://www.acm.org/chapters/chapter-web-tools
- Local Activities Calendar – You can let chapter members, ACM members, and other computing professionals, know about your upcoming events: http://campus.acm.org/public/chapters_conf_cal/index.cfm
- Chapter Member Locator- If a group of chapter organizers do not have enough members (10 in total are needed), ACM will send a message to a selected group of ACM members that might be interested in helping to start the chapter. Please contact email@example.com if you are interested in this service.
- ACM Distinguished Speakers Program – The ACM Distinguished Speaker Program is one of the premier technology outreach programs in the computing industry. The ACM DSP has over 250 lectures from nearly 100 different speakers! For more information, please visit: http://www.dsp.acm.org/
- Promotional Materials ACM can provide chapters with materials for chapter events: http://campus.acm.org/public/profqj/promotional_materials.cfm
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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