26 June 2018

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USGIF

Machine Learning & Artificial Intelligence

Working Group

Agenda

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1200: Welcome, Introductions, Agenda Review.1210: Review highlights of last MLAIWG meeting.1220: Guest speaker: Dr. David M. Isaacson, ODNI.1300: ML-AI Workshop, 13-14 November 2018.1310: 2019 State & Future of GEOINT Report.1315: Sub-Working Group reports.1340: Wrap-up and next steps.1345: Networking.

22 May 2018 MLAIWG Highlights

1. The meeting convened at noon in USGIF offices in Herndon, VA.

2. Col Jason Brown, Commander of the Air Force’s 480th ISR Wing, guest speaker, made his remarks on a non-attribution basis.

3. Reviewed and assessed our MLAIWG activities at GEOINT 2018.• See meeting notes for details of discussion.

4. Sub-working group updates:• Kirstie Bellman who leads our ML-AI V&V (topic #5) topic

welcomes MLAIWG members to join the sub-WG.• Peter Morosoff volunteered to pick up the leadership of our

Lexicon sub-WG (topic #6).

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David M. Isaacson, Ph.D.

Program Manager, Machine Analytics ResearchOffice of the Director of National Intelligence

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ML-AI Workshop, 13-14 Nov 18Venue: NGA Allder Auditorium in Springfield, VA.

Agenda: 2-day (or 2 partial days, depending on content) event, the first day being unclassified and the second day being held at the TS/SCI level.

Proposed topics and themes of interest:

• Simulating training data (to enable training artificial neural networks).

• Preparing data for use in training ML and AI systems.

• How to train and prepare the workforce to work with ML and AI systems.

• Neuromorphic computing.

Topics specifically for the classified session might include:

• Hard problems of interest.

• Ground-breaking projects of interest (could be talks and/or demonstrations).

Proposed speakers: Lt Gen Shanahan, Prof Chris Eliasmith, Col Cukor

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ML-AI Workshop, 13-14 Nov 18

Opportunities for members:• Identify topics of interest• Identify speakers of interest• Participate in planning, organizing, recruiting

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Send topic / speaker suggestions and requeststo join the planning team to mlaiwg@usgif.org.

2019 State & Future of GEOINT Report

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USGIF’s annual State and Future of GEOINT Report provides the GEOINT Community an opportunity to assess the current state of the profession and look ahead to the technologies and tradecraft of the future.

USGIF is announcing a State and Future of GEOINT Call for Abstracts.

If you wish to pitch an article for consideration in the 2019 report, please prepare a Word document including:• A proposed article title• An abstract of no more than 1 page• Names, titles, and contact information of at least three authors. Eachwriting team should represent a minimum of three organizations.

Submit abstracts to SFOG@usgif.org no later than Friday, June 29.

Writing teams will be notified no later than July 20 whether their article has been selected to progress to the manuscript phase. If selected, manuscript first drafts will be due September 4.

2018 Sub-WG Topics3. Identify the implications of ML and AI adoption for future GEOINT professionals education / training to help benefit the community. - Doug McGovern, IBM; Scott Jachimski, BAH; Peter Hanson, CTC.

4. Survey of ML and AI use in the GEOINT field today (AKA “State of ML and AI in GEOINT”), focusing on data sets and data sources. - Todd Bacastow, Radiant, Ian Eishen, USAF; Zslot Kira, GTRI.

5. Verification and validation of machine learning and AI tools and algorithms. - Kirstie Bellman & Chris Landauer, Aerospace Corp.; Tim Barr, Cray; Mark Skoog, NASA.

6. Developing a lexicon for machine learning and AI.- Ted Josue, Riverside Research; Cecelia Smith, Orbital Insight; Mark Knapp, Eastview; Chris Landauer, Aerospace Corp,; Peter Morosoff, E-mapsys; Mike Rampino, PSS Federal.

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Wrap-up & Next Steps• Review action items from this meeting.

• Around the room / phone for final comments.

• Networking immediately follows meeting.

• Upcoming MLAIWG events:• MLAIWG monthly meeting, 24 July, noon.

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26 June 2018

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USGIF

Machine Learning & Artificial Intelligence

Working Group

MLAIWG Sub-WGsTopic #3. Identify the implications of ML and AI adoption for future GEOINT professionals

education / training to help benefit the community. Doug McGovern, IBM; Scott Jachimski,

BAH; Peter Hanson, CTC. Contact Pete at hansonp@ctc.com or Scott at

jachimski_scott@bah.com

Topic #4. Survey of ML and AI use in the GEOINT field today (AKA “State of ML and AI in

GEOINT”), focusing on data sets and data sources. Todd Bacastow, Radiant, Ian Eishen,

USAF; Zslot Kira, GTRI. Contact Todd at Todd.Bacastow@digitalglobe.com

Topic #5. Verification and validation of machine learning and AI tools and algorithms. Kirstie

Bellman & Chris Landauer, Aerospace Corp.; Tim Barr, Cray; Mark Skoog, NASA. Contact

Kirstie at kirstie.l.bellman@aero.org

Topic #6. Developing a lexicon for machine learning and AI. Ted Josue, Riverside Research;

Cecelia Smith, Orbital Insight; Mark Knapp, Eastview; Chris Landauer, Aerospace Corp,; Peter

Morosoff, E-mapsys; Mike Rampino, PSS Federal. Contact Peter at peter.morosoff@e-

mapsys.com

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