Defense News:

The U.S. Army has a vision to field a new ground system by the end of the decade that will use artificial intelligence and machine learning to help automate processes and cut the time it takes to identify a far-off threat and decide how best to engage it.

For now, soldiers must use spreadsheets, sticky notes and manually toggle between systems to aggregate targeting data. And while soldiers perform that task well, such cumbersome operations become much harder when multiple targets are encountered on a battlefield, according to Courtney Coulter, chief of the decision science branch at Army Combat Capabilities Development Command’s C5ISR Center.

Coulter’s team is working to develop the Synchronized High OPTEMPO Targeting application, or SHOT, which is informing the Army’s major ground system modernization effort, the Tactical Intelligence Targeting Access Node, or TITAN. The Army is requesting $58 million for TITAN in fiscal 2023, and expects to spend about $189 million to develop the system over the next five years. The service’s FY23 budget includes $3.3 million for SHOT, a smaller science and technology effort aimed at supporting TITAN and other Army fires and intelligence solutions.

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