SIG Governing Board Motions - FY'99

Motion: Move to approve the minutes of the February'98 SIG Chairs Meeting.

Soffa, Johnson
(Unanimous)

Motion: Move that the SGB formally express interest in pursuing the IFIP proposal presented by Joe Turner and work on implementation.

Cunningham, Levitan
(Unanimous)

Motion: Move to endorse the SIGLINK name change to SIGWEB and forward to ACM EC for approval.

Levitan, Martin
(Unanimous)

Motion: Move to recommend that the SGB EC further review the viability of SIGCAPH.

Johnson, Levitan
(38,36,0)

Motion: Move that SIGARCH retain their status as a multi-service SIG.

Levitan, Soffa
(Unanimous)

Motion: Move that SIGMICRO retain their status as a conference SIG.

Belkin, Soffa
(Unanimous)

Motion: Move that SIGPLAN retain their status as a multi-service SIG.

Baer, Levitan
(Unanimous)

Motion: Decertify SIG3C as an active ACM SIG and refer to SGBEC for discussion and decision on how to compensate and serve current SIG3C members.

Furuta, L. Johnson

Motion: Move that SIGAda retain their status as a multi-service SIG with a program review in two years.

Cunningham, Levitan

Motion: Move that SIGCPR retain their status as a multi-service SIG.

Baer, Belkin

Motion: Move to refer SIGBIO status to the SGB EC for discussion and decision.

Cuningham, L. Johnson

Motion: Move that the viability of SIGAPL be referred to the SGB EC for discussion and decision.

Snodgrass, Furuta

Motion: Move that SIGSIM retain their status as a conference SIG.

Soffa, Cunningham

Motion: Move that SIGWEB retain their status as a multi-service SIG.

Soffa, Belkin

Motion: Move that the SGB EC constitute a committee to provide recommendations on what the SGB should do with regard to conference management software.

Snodgrass, Levitan

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. 

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