SGB Meeting Agenda March 19, 2005

Saturday, March 19, 2005
6:00 pm - 9:00 pm

March 19 Minutes

6:00 pm - 7:00 pm Working Dinner - Welcome and Introductions
6:30 pm - 7:00 pm 1.0 State of the ACM (White)
7:00 pm - 7:15 pm 2.0 DL Return Recommendation (Berenbaum, Chesnais)
7:15 pm - 7:45 pm 3.0 CSTA Task Force Recommendation (Chesnais)
7:45 pm - 9:00 pm 4.0 Viability Reviews
  4.1.1 Viability Report
  4.1.2 Annual Report
  4.1.3 Slides
  4.2.1 Viability Report
  4.2.2 Annual Report
  4.2.3 Slides
  4.3.1 Viability Report
  4.3.2 Annual Report
  4.3.3 Slides
  4.4.1 Viability Report
  4.4.2 Annual Report
  4.4.3 Slides
9:00 pm - 10:00 pm The leadership of SIGSAM and SIGAda invite you to stay for a screening of the biographical film "To Dream Tomorrow" about the life of Ada Byron Lovelace.

Sunday, March 20, 2005
8:30 am - 3:00 pm

8:30 am - 9:00 am Continental Breakfast
9:00 am - 10:45 am 5.0 Council and Board Reports
5.1 SGB/SGB EC (R. Walker)
5.2 ACM Council (R. Walker)
5.3 Membership Services Board Report (Konstan)
5.4 Education Board (Lawson)
5.5 Publication Board (Irwin)
5.6 USACM (Volcheck)
5.7 CRA Report (Rexford)
10:45 am - 11:00 am Break
11:00 am - 11:45 am 6.0 Viability Reviews
  6.1.1 Viability Report
  6.1.2 Annual Report Emil's Report
  6.1.3 Slides
  6.2.1 Viability Report
  6.2.2 Annual Report
  6.2.3 Slides
  6.3.1 Viability Report
  6.3.2 Annual Report
  6.3.3 Slides
11:45 am - 12:00 noon 7.0 SGB vote on DL and CSTA Recommendations
12:00 noon - 1:00 pm Lunch
1:00 pm - 2:00 pm 8.0 Report from Conference Task Force (Wolf)
2:00 pm - 2:15 pm 9.0 Conference Program Committee Discussion (Patterson)
2:15 pm - 3:00 pm 10.0 Best Practices - SIG Governance Focus (R. Walker)

Next Meeting: Orientation Friday, August 12, SGB Meeting Saturday, August 13

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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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