Algorithmic Warfare Cross Functional Teams - Software Pilot Program

Abstract

The AWCFT (Project Maven) is the pathfinder artificial intelligence (AI) initiative for the DoD that accelerates the integration of AI into DoD systems to improve warfighting speed and lethality for the Joint Force. Maven deploys capabilities that complement human cognition by automating key tasks of object identification, characterization and tracking, and by deriving insights from large-scale data sets to create immediately actionable intelligence. Maven’s AI architecture initially automated and augmented Processing, Exploitation and Dissemination (PED) of Full Motion Video (FMV) from Tactical Unmanned Aerial Vehicles (TUAVs). Maven additionally developed algorithms to Medium Altitude, High Altitude, and Wide Area Motion Imagery (WAMI) Intelligence and multiple other Surveillance, and Reconnaissance (ISR) platforms to support the National Defense Strategy (NDS). Maven includes AI tools used on Captured Enemy Material (CEM), Maritime, and Public Available Information (PAI) exploitation. Most military intelligence exploitation systems were designed pre-AI and require specialized integration and multiple individuals to control and then enable the insertion of algorithms into their software baseline. Maven developed a path forward to eliminate substantial costs and coordination among myriad legacy projects to instead use a single screen with multiple AI-enabled layers and tools. Maven increases the value of ISR, reduces human processing so analysts can multi-task and produce more intel, and it now detects, classifies, and tracks objects exponentially faster than a human. With FMV intel, for example, Maven detects/tracks persons, vehicles, and weapon systems. By combining AI detections, tracks, and insights onto a single screen, Maven created tools for deployment to help mission commanders, operations personnel, and intel analysts to unite their increased productivity in conducting military operations in every domain of warfare – air, land, sea, space, and cyberspace.

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Document Details

Document Type
R2 Budgetary Justification
Publication Date
Oct 01, 2023
Source ID
0308588D8Z_8_0400_PB_2023
Change Summary Explanation
The Algorithmic Warfare Cross Functional Team (AWCFT) FY 2022 program increase reflects Ukraine Supplemental. The Algorithmic Warfare Cross Functional Team (AWCFT) FY 2023 program decrease reflects the AWCFT transfer to various classified mission partners.
Service Agency Name
Office of the Secretary Of Defense

Entities

Organizations

  • Office of the Secretary of Defense

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Satellites
  • Computer Vision
  • Data Sets
  • Deep Learning
  • Deployment
  • Detection
  • Drone Targeting
  • Full Motion Video
  • High Altitude
  • Medium Altitude
  • Military Operations
  • Military Satellites
  • Satellite Imaging
  • Target Recognition
  • Unified Combatant Commands
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

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

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