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Countering rogue UASs with modular AI- and ML-enabled systems

Updated: Apr 27

Designers of systems aimed at countering unmanned aerial systems (UASs) or drones can now take advantage of open architecture designs and modular artificial intelligence/machine learning (AI/ML) to detect, identify, track, and mitigate potentially dangerous aircraft. Northrop Grumman’s Armament Systems team initially developed the Mobile Acquisition Cueing and Effector (M-ACE) to respond to the growing drone threat on the battlefield.

Topics: Northrop Grumman; Mobile Acquisition Cueing and Effector; M-ACE; counter-drone; counter-UAS; drone threats; battlefield safety; military; dual-use technology; homeland defense

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