Technology Innovation

Abstract

This Program focuses on three main areas: 1) Core Datahub pilot program; 2) Expansion of the Datahub pilot program to address the issues in the rest of the DoD 4+1 problem sets; and 3) Further innovation across other warfighter problem sets. Core Datahub pilot program. This effort focuses on maturing and demonstrating the automated processing of space-based Intelligence, Surveillance, and Reconnaissance (ISR), Artificial Intelligence-driven Geospatial Intelligence (GEOINT), and Fix-Find-Finish-Exploit-Assess (F3EA) into an integrated capability to aid the Combatant Commander and Component forces in defeating threats posed by nuclear-capable, mobile missile - a problem set often plagued by sparse data. The approach is composed of three innovative building blocks: 1) Machine learning techniques applied to commercial GEOINT and other commercial data sources for automated country-wide anomaly and change detection - crucial element for enhancing indications and warnings required for precision strikes; 2) Machine-Human collaboration architecture to accelerate the F3EA joint forces targeting and decision-making cycle; and 3) Autonomous weaponeering demonstration - Exercise secure (C2S) cloud for timely precision strikes to hold mobile missile systems at risk. Expansion of the Datahub Pilot Program. Following a successful demonstration of Datahub and its leverage of commercial data sources and automation in early 2017, the team was directed to expand Datahub to address applicable issues in the remainder of the DoD 4+1 problem sets. Some of these problem sets may leverage similar technologies to the pilot program, with data coverage for different parts of the world and algorithms tuned for different targets of interest, while other problem sets may require completely different data, algorithms, and/or technologies. Although FY 2017 funding was only 50% of what was expected, the team is executing preliminary efforts to execute the expansion when FY 2018 funds become fully available. Innovation for other warfighter problem sets: Through the unique partnership in place for this effort, DoD is exposed to a wide variety of emerging commercial technologies which have potential applicability to a wide spectrum of DoD problem sets. Enabling the warfighter to execute short duration pilots with these evolving technologies provides a cost effective way to leverage commercial investment for DoD purposes, informing warfighter requirements for follow-on acquisition through traditional DoD channels, and allowing DoD R&D organizations to focus their resources on both the integration of commercial technologies showing promise in these warfighter pilots, and on traditional R&D in technologies not well served by the commercial start-up companies.

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Document Details

Document Type
Project
Publication Date
Oct 01, 2019
Source ID
375_0603375D8Z_3_0400_PB_2019

Tags

Fields of Study

  • Computer science

Readers

  • Defense Technology Research and Development.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs
  • Space

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