Algorithmic Warfare Cross Functional Team (AWCFT)

Abstract

Algorithmic Warfare Cross Functional Team (AWCFT) funds Project Maven, a rapid fielding Artificial Intelligence (AI) program to augment and automate Processing, Exploitation and Dissemination (PED) for Full Motion Video (FMV) Tactical Unmanned Aerial Vehicles (TUAVs), Medium Altitude, High Altitude, and Wide Area Motion Imagery (WAMI) Intelligence, Surveillance and Reconnaissance (ISR) platforms in support of defeat-ISIS and National Defense Strategy (NDS) peer/near peer competitor strategy. Maven also brings AI to Captured Enemy Material (CEM), Acoustical Intelligence (ACINT), Overhead Persistent Infrared program (OPIR) and Public Available Information (PAI) exploitation. Maven uses AI, deep learning, and computer vision algorithms to detect, classify, and track objects within FMV images (e.g., person, vehicle, and weapon) and other AI algorithms for CEM and text based projects. Maven algorithms increase the intelligence value of ISR, reduce the human burden of screening so analysts can multi-task increasing productivity, and seeds the generation of insight from Geospatial Intelligence (GEOINT). Project Maven is a commercial technology initiative that inserts commercial AI into existing programs of records. Most military intelligence exploitation systems were designed pre-AI and require specialized integration to enable the insertion of algorithms into their software baseline. Project Maven is the pathfinder AI initiative for the DoD and is investing in critical AI architecture to support the rapid expansion of AI to other mission areas besides GEOINT. As Maven algorithms increase in capability, the algorithms will move to the edge (on the sensor platform).

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Document Details

Document Type
R2 Budgetary Justification
Publication Date
Oct 01, 2020
Source ID
0307588D8Z_6_0400_PB_2020
Change Summary Explanation
In order to delineate funding designation and mission execution, Algorithmic Warfare Cross Functional Teams (Maven) was transferred from PE 0305245D8Z to PE0307588D8Z beginning in FY 2020. In addition, the department increased FY 2020 across all appropriations in order for the DoD to invest in critical AI architecture to support the rapid expansion of AI to other mission areas besides GEOINT. As Maven algorithms increase in capability, the algorithms will move to the edge (on the sensor platform).
Service Agency Name
Office of the Secretary Of Defense

Entities

Organizations

  • Office of the Secretary of Defense

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Altitude
  • Artificial Intelligence
  • Computer Vision
  • Deep Learning
  • Detectors
  • Drone Targeting
  • Full Motion Video
  • Geospatial Intelligence
  • High Altitude
  • Medium Altitude
  • Military Intelligence
  • National Security
  • Surveillance
  • Target Recognition
  • Unmanned Aerial Vehicles
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

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

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