AI/ML Critical to Army Strategy to Counter Small UAS
October 15, 2020
By George I. Seffers
The strategy could soon get departmental approval.
The U.S. Army’s joint strategy document for countering small unmanned aerial systems should be headed soon to the Secretary of Defense for approval, Army officials say, and artificial intelligence and machine learning are crucial to the vision.
During a telephone discussion with reporters, Maj. Gen. Sean Gainey, USA, director of the Joint Counter-Unmanned Aircraft Systems Office and director of fires, G-3/5/7, described artificial intelligence (AI) and machine learning (ML) as “critical†to the military’s efforts to counter unmanned aerial systems (UAS).
The Army has been named the executive agent for joint efforts to counter the small drones, which are categorized as being in groups one, two and three. Small, inexpensive drones can be easily purchased and used against U.S. forces in a number of ways. For example, ISIS used the systems to carry explosives. They also can be used to jam communications signals or for intelligence, surveillance and reconnaissance purposes. They also pose a threat within the United States from people who fly them too close to aircraft or in or near restricted areas.
https://www.afcea.org/content/aiml-critical-army-strategy-counter-small-uas
