Intelligence Systems Development

Abstract

This Program Element (PE) is part of the Military Intelligence Program (MIP) that develops the identification, development, rapid prototyping and testing of Special Operations Forces (SOF) intelligence equipment to identify and eliminate deficiencies in providing timely intelligence to deployed forces. RDT&E project addresses: intelligence dissemination; sensor systems; tagging, tracking, and locating devices; integrated threat warning to SOF mission platforms; biometrics and forensic site exploitation; Tactical Exploitation of National Capabilities (TENCAP) system under National Systems Support to SOF (NSSS); space-based payload development; and tactical uncrewed systems. The United States Special Operations Command (USSOCOM) has developed an overall strategy to ensure that Command, Control, Communications, Computers, and Intelligence (C4I) systems and tactical uncrewed systems continue to provide SOF with the required capabilities. The USSOCOM tactical uncrewed and C4I systems comprise an integrated network of systems providing positive command and control and timely exchange of intelligence and threat warning to all organizational echelons. The C4I systems that support this new architecture employ the latest standards and technology by transitioning from separate systems to full integration with the Global Information Grid (GIG). The GIG allows SOF elements to operate with any force combination in multiple environments. This PE received a Congressional Add in FY 2023 for Multi-Mission Tactical Unmanned Aerial Systems (MTUAS) for Artificial Intelligence for Small Unit Maneuver (AISUM) ($15.000 million).

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Document Details

Document Type
R2 Budgetary Justification
Publication Date
Oct 01, 2024
Source ID
1160405BB_7_0400_PB_2024
Change Summary Explanation
Funding: FY 2022: None. FY 2023: Increase for Multi-Mission Tactical Unmanned Aerial Systems (MTUAS) for Artificial Intelligence for Small Unit Maneuver (AISUM) to accelerate research, development, test and evaluation and integration of advanced artificial intelligence and machine learning technologies on V-BAT (not an acronym) to provide modular capabilities in support of Small Unit Maneuver ($15.000 million). FY 2024: Net increase of $9.130 million to support autonomy enhancements to Multi-Mission Tactical Unmanned Aerial Systems (MTUAS) V-BAT platform ($2.500 million) and details to be provided under separate cover ($6.630 million).
Service Agency Name
United States Special Operations Command

Entities

Organizations

  • United States Special Operations Command

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Application Software
  • Artificial Intelligence
  • Collision Avoidance
  • Command And Control
  • Computers
  • Computing Devices
  • Geospatial Intelligence
  • Information Operations
  • Mobile Computing
  • Mobile Devices
  • Mobile Phones
  • National Security
  • Surveillance
  • Test And Evaluation
  • Unmanned Aerial Systems
  • Unmanned Systems

Fields of Study

  • Engineering

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control
  • Space

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