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CLSAC 2019
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Theme:
As the use of machine learning and artificial intelligence expands to become an integral part of our basic infrastructure, there is an increasing need to understand the impacts and vulnerabilities of these algorithms. The eighth CLSAC conference will explore efforts to address societal impacts of large-scale analytics including, for example, consequences of "fooling" ML algorithms in automated systems, consequences to data privacy and policy, understanding and incorporating uncertainty in analytics models and data, and AI explainability. The conference will engage experts from industry, government, and academia to understand how the various communities are addressing these challenges for large-scale analytics.
As the use of machine learning and artificial intelligence expands to become an integral part of our basic infrastructure, there is an increasing need to understand the impacts and vulnerabilities of these algorithms. The eighth CLSAC conference will explore efforts to address societal impacts of large-scale analytics including, for example, consequences of "fooling" ML algorithms in automated systems, consequences to data privacy and policy, understanding and incorporating uncertainty in analytics models and data, and AI explainability. The conference will engage experts from industry, government, and academia to understand how the various communities are addressing these challenges for large-scale analytics.
Organizing Committee:
John Feo (PNNL)
Jim Ang (PNNL)
David Haglin (Trovares Inc.)
Richard Murphy (Micron Technology)
Ron Oldfield (SNL)
Steve Pritchard (Independent Consultant)
J.T. Halbert (DoD)
T.C. Tuan (DoD)
Candace Culhane (LANL)
Jim Ang (PNNL)
David Haglin (Trovares Inc.)
Richard Murphy (Micron Technology)
Ron Oldfield (SNL)
Steve Pritchard (Independent Consultant)
J.T. Halbert (DoD)
T.C. Tuan (DoD)
Candace Culhane (LANL)
2019 Sponsors
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Agenda
| 2019_agenda.pdf |
Monday, October 7
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7:00-8:30 PM
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Registration and Welcome Reception (Annapolis Atrium)
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Tuesday, October 8
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7:00 - 8:30 am
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Breakfast and Registration (Atrium)
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8:00 - 8:30 am
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Welcome
George Cotter Award for Vision and Leadership in the Field of Data Analytics |
Jim Ang, Candy Culhane
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Keynote
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8:30 - 9:15 am
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Debra Goldfarb, Intel
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Session 1: Applications 1
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TC Tuan, Moderator
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9:15 - 10:00 am
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Harlan Kadish, Tamr Inc.
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10:00 - 10:15 am
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Break (Atrium)
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10:15 - 11:00 am
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Justin Smith, LANL
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11:00 - 11:45 am
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Robust AI: How to protect your networks - whether cyber or neural
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Steven Forsyth, NVIDIA
Ed Raff, BAH |
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11:45 - 12:30 pm
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Panel Discussion
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12:30-1:45 pm
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Lunch (Atrium)
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Session 2: Applications 2
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John Feo, Moderator
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1:45 - 2:30 pm
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Scalable Predictive Analytics for Optimizing Power Network Operations and Maintenance
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Nagi Gabraeel, Georgia Institute of Technology
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2:30 - 3:15 pm
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Emilie Purvine, PNNL
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3:15 - 3:30 pm
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Break
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3:30 - 4:15 pm
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Predicting Behavior in Complex, Interactive Systems
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Julie Huff,
Northrup Grumman |
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4:15 - 5:00 pm
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Panel Discussion
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6:00 - 7:30 pm
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Dinner (Atrium)
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Sam Visner, NCCoE/NIST
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7:30 - 9:00 pm
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Reception (Mainsale/Spinnaker)
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Wednesday, October 9
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7:30 - 8:30 am
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Breakfast
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Keynote
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8:30-9:15am
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Early and Often: Taking AI Ethics Seriously
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Dr. Heather Roff, The Johns Hopkins University Applied Physics Laboratory
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Session 3: Software
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Ron Oldfield, Moderator
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9:15 - 10:00 am
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Doug Joseph, ARM
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10:00-10:15 am
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Break
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10:15 - 11:00 am
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Jeremy Wendt, SNL
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11:00 - 11:45 am
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Bill Reus, DoD
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11:45 - 12:30 pm
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Panel discussion
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12:30-6:00 pm
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Free Time (lunch and dinner on your own)
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6:00-7:30 pm
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Random Access Session (Ballroom)
Sign-up sheet will be at the registration table. Talks limited to 10 minutes. |
JT Halbert, Moderator
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7:30-9:00 pm
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Reception and Poster Session (Mainsail/Spinnaker)
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Steve Pritchard, Moderator
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Poster
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Student
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Simra Ali
Georgetown University |
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Robert D’Angelo-Cosme
Georgetown University |
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Ricky Laishram
Syracuse University |
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Matthew Merris
Boise State University |
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Vidya Nagaraju
University of Massachussets |
Thursday, October 10
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7:00 - 8:30 am
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Breakfast
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Keynote
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8:30 - 9:15 am
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Brigadier General Matthew Easley, Director of Army Artificial Intelligence
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Session 4: Hardware
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Richard Murphy, Moderator
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9:15 - 10:00 am
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Michel Kinsy, Boston University
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10:00 - 10:15 am
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Break
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10:15 - 11:00 am
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Accelerating Large Scale Analytics with Cerebras
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Andy Hock, Cerebras
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11:00 - 11:45 pm
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AI and the Memory Innovations That Will Be Created as a Result
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Steve Pawlowski, Micron
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11:45 - 12:30 pm
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Panel Discussion
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12:30 - 1:45 pm
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Lunch
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Session 5: Policy
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David Haglin, Moderator
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1:45 - 2:30 pm
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Isaac Potoczny-Jones, Tozny LLC
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2:30 - 3:15 pm
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Jack Collins, Frederick National Laboratory for Cancer Research
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3:15 - 3:30 pm
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Break
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3:30 - 4:15 pm
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Chris Krieger, DoD
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4:15 - 5:00 pm
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Panel Discussion
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5:00 - 5:15 pm
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Closing Remarks and Adjourn
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