Technology Innovation
Abstract
This Program focuses on three main areas: 1) Rapid innovation and experimentation in commercial start-up technology via In-Q-Tel to address priority warfighter problem sets, 2) Project Datahub to pilot innovative AI/ML automation for data fusion of commercial and government data to address a high-priority Combatant Command challenge; and 3) Expansion of Project Datahub to address high priority areas. Rapid Innovation and experimentation with commercial startup technology: Through the unique partnership with the Intelligence Community (IC) in place for this effort, a wide variety of emerging commercial technologies are rapidly assessed for applicability to a wide spectrum of priority 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, sharing costs with IC partners, informing warfighter requirements for follow-on acquisition through traditional DoD channels, and allowing other DoD R&D organizations to focus their resources on both the integration of commercial technologies showing promise in these warfighter pilots as well as on traditional R&D in technologies not well served by commercial start-up companies. Project Datahub: 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 Combatant Commander and Component forces by providing more robust long-lead Indications and Warnings (I&W) against high priority threats. The approach is composed of three innovative building blocks: 1) Machine learning techniques applied to commercial data sources and algorithms together with high-side government data sources for automated country-wide anomaly and change detection – a crucial element for enhancing indications and warnings required for deliberate action; 2) Machine-Human collaboration architecture to accelerate the F3EA joint forces targeting and decision-making cycle; and 3) Autonomous weaponeering demonstration for timely precision strikes to hold mobile missile systems at risk. Project Datahub is being implemented in the IC’s secure cloud environment (C2S). Expansion of Project Datahub. Following a successful demonstration of Project Datahub in 2017, the team was directed to expand Project Datahub to address high priority areas. 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. Funding in FY 2020 will allow the team to expand its efforts into additional high priority areas.
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2020
- Source ID
- 375_0603375D8Z_3_0400_PB_2020
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