DL Marketing Materials

Below is ACM's current listing of marketing and promotional materials.  Hard copies of these documents are available upon request. 

Additionally, ACM would like to assist librarians to build awareness of the ACM Digital Library as a valuable resource to the greatest extent possible. Please contact ACM to let us know how we can help.

Please contact us at dl-info@acm.org.

 

ACM Brochure and Flyers

ACM Digital Library Brochure (Booklet)

ACM Digital Library Flyer

ACM Digital Library Flyer - Chinese

 

ACM Digital Library - Industry Verticals

Entertainment

Banking and Finance

Communications

Transportation

Energy

Defense

Manufacturing

Healthcare

Technology

 

ACM Posters

ACM logo

ACM DL logo

Volunteer with SocialCoder

You can use your technical skills for social good and offer volunteer support on software development projects to organizations who could not otherwise afford it. SocialCoder connects volunteer programmers/software developers with registered charities and helps match them to suitable projects based on their skills, experience, and the causes they care about. Learn more about ACM’s new partnership with SocialCoder, and how you can get involved.

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.

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.