Machine Learning & GEOINT

GEOINT meets artificial intelligence and cognitive computing

Dec. 19, 2016

By Lindsay Tilton Mitchell

USGIF will host its first Machine Learning and Artificial Intelligence Workshop Jan. 10 to foster discussion around these rapidly evolving technologies shaping the future of the GEOINT Community. The workshop will be held in Herndon, Va., and is sponsored by DigitalGlobe, Harris, and NVIDIA.

The workshop will feature keynote addresses from Intelligence Advanced Research Projects Activity (IARPA) Director Dr. Jason Matheny and National Geospatial-Intelligence Agency (NGA) Director of Research Dr. Peter Highnam.

“Matheny will talk about current and future programs and the cutting-edge research [IARPA is] investing in,” said Jeremy Schoos, co-chair of USGIF’s Technical Committee, which is helping to plan the workshop. “I also expect to hear how [IARPA] sees artificial intelligence fitting into the Intelligence Community.”

Schoos added Highnam is expected to address the role of artificial intelligence in GEOINT more specifically.

In addition to the keynotes, the agenda includes presentations from In-Q-Tel, the Joint Improvised Threat Defeat Organization, DFJ Venture Capital, and Dr. Catherine Cotell, anticipatory analytics lead with NGA Research.

Attendees will also enjoy a series of academic research and development flash talks as well as industry flash talks introducing the latest technology enabling machine learning and artificial intelligence. Later in the day, DigitalGlobe and CosmiQ Works will provide an update on the SpaceNet challenge. 

Barry Barlow, co-chair of USGIF’s Technical Committee, said the content of the workshop is becoming increasingly important in the era of big data.

“In a future where data is being created exponentially faster than at any point in the past, organizations must be able to identify, combine, and manage multiple sources of data,” Barlow said. “They need to invest in capabilities to build advanced analytic models for predicting and optimizing outcomes, or extracting [intelligence] from the underlying data. Two important features underpin those needs: a clear strategy for how to use data and analytics, and deployment of the right technology architecture and capabilities.”

The workshop will also include exhibits and demonstrations from organizations such as Basis Technology, DAn Solutions, DataRobot, Diffeo, DigitalGlobe, Georgia Tech Research Institute, Harris, IBM, NVIDIA, and more.

Click here to register to attend the Machine Learning and Artificial Intelligence Workshop. Attendees will also have complimentary access to USGIF’s GEOINTeraction Tuesday networking event directly following the workshop agenda.

To learn more about machine learning, read the Q3 2016 trajectory cover story, “Machine Learning, Big Understanding.”