Get Involved with ACM's Special Interest Groups
ACM’s Special Interest Groups (SIGs) represent the major areas of the dynamic computing field. A primary source of original research and personal perspectives from the world's leading thinkers in computing and information technology, they foster technical communities within their respective specialties across countries and continents.
ACM’s SIGs require active participation from a individuals within their respective technical communities. There are a wide variety of ways that you can get involved. If you are interested in volunteering with one of ACM's SIGs in your technical area, please scontact the leadership of the SIG and explain your desire to get more involved with the SIG or its meetings. For a listing of ACM's SIGs, please visit http://www.acm.org/special-interest-groups/sigs-by-knowledge-area.
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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.
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.