Algorithmic Warfare Cross Functional Team (AWCFT)

Abstract

AWCFT funds Project Maven, a rapid fielding AI program to augment and automate PED for FMV of TUAVs, Medium Altitude, High Altitude, and WAMI ISR platforms in support of defeat-ISIS and NDS peer/near peer competitor strategy. Maven also brings AI to CEM, ACINT, OPIR and PAI exploitation. Maven uses artificial intelligence, 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 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 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).

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2021
Source ID
dff18376ff75dee8bef0d6755ae11aa9

Tags

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy

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