IDA: Intelligent Digital Assistant Powered by SensorCube and Heterogeneous Information Networks

IDA: Intelligent Digital Assistant Powered by SensorCube and Heterogeneous Information Networks

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-18-C-0453
Agency Tracking Number: N181-033-0884
Amount: $125,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2018
Solicitation Year: 2018
Solicitation Topic Code: N181-033
Solicitation Number: 2018.1
Small Business Information
15400 Calhoun Drive, Rockville, MD, 20855
DUNS: 161911532
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Onur Savas
 (301) 294-4241
 osavas@i-a-i.com
Business Contact
 Mark James
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract
With the inevitable growth of target track in the naval battlespace from emerging low-cost Unmanned Aerial Vehicles (UAVs), as well as large-scales raids, the Aegis console operator will suffer from information overload resulting in potentially catastrophic failure mode within the ship self-defense scenario.
To address this critical need, Intelligent Automation, Inc. (IAI) proposes to develop a self-contained Intelligent Digital Assistant (IDA) powered by SensorCube and Heterogeneous Information Networks (HINs) adhering to open system architectural principles and standards. IDA observes operators actions and interactions at the Aegis console. It interacts with the operator via standard console input and assists them to navigate, retrieve, and understand the vast amount of data from multi-INT data sources. IDA will alert the operator with critical events and recommend possible COAs in near real time as data becomes available. IDA will learn the operator behavior on the console using advance AI techniques and will continuously learn or adapt itself to provide personalized information to the user that will be contextually relevant to the user and mission. IDA will be taught by the operator, albeit indirectly, to assist them to identify and present contextually relevant information sourced from multiple disparate data banks relevant to the operator tasking.

* Information listed above is at the time of submission. *

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