Insurance Programs

ACM's Insurance Programs offer ACM Members numerous options in a variety of important areas.

View all insurance plans

Life Insurance

  • Group Term
  • Group 10-Year Level Term
  • Group 20-Year Level Term


Health Care

  • Major Medical
  • Short Term Medical
  • Catastrophe Major Medical
  • Catastrophe Major Medical(NY)


Group Dental Insurance

Accidental Death & Dismemberment

Long Term Care

Disability Income


If you are not currently an ACM Member, join now!
 

 

 

Publish with 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.

Publish your work

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.

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.