Air Force researchers ask industry for artificial intelligence (AI), machine learning for target tracking

Summary points:

• Air Force launches $99 million ATA-AI project to advance next-generation target tracking using AI, machine learning, and high-performance computing.
• Work will involve advanced algorithms involving 3D pixel and point cloud processing, electromagnetic signature analysis, and disaster response applications.
• Several contracts are expected through 2029, with individual awards ranging from $1 million to $10 million; white papers are due annually through 2028.

ROME, N.Y. – U.S. Air Force researchers are asking industry to develop technologies for next-generation target tracking that uses high-performance computing, many data sources, and capitalizes on artificial intelligence (AI), machine learning, and machine inferencing algorithms.

Officials of the Air force Research Laboratory Information Directorate in Rome, N.Y., have issued a solicitation (FA875024S7004) for the Advanced Tracking Architecture Using AI (ATA-AI) project. Companies have until November 2028 to respond.

The Air Force is asking industry for algorithms that involve 3D pixel, vector, and point cloud processing and accelerations; using AI and machine learning to identify targets and learn about the patterns of their electromagnetic signatures; process navigation and positioning data; and using cell phones and personal fit devices to help first responders find victims in disaster areas.

This project will spend about $99 million in total, and run through 2029. Many four-year contacts may be awarded, worth from $1 million to $10 million each.

Tell me more about how artificial intelligence can benefit automatic target tracking ...

• Artificial intelligence (AI) can enhance automatic target tracking by improving speed, accuracy, adaptability, and resilience in complex and dynamic environments. AI comes into play with improved target detection and recognition; multi-sensor data fusion; predictive tracking and motion estimation; adaptability in complex environments; reduced operator workload; and counter-countermeasures and deception handling.

Companies interested should email white papers to Carolyn Sheaff at [email protected] and Peter Rocci at [email protected].

Send white papers for 2026 projects by 20 Nov. 2025; 2027 projects by 30 Nov. 2026; 2028 projects by 30 Nov. 2026; and 2029 projects by 30 Nov. 2028.

Email technical questions or concerns to Carolyn Sheaff at [email protected] and Peter Rocci at [email protected]. Email business questions to Amber Buckley at [email protected]. More information is online at http://www.fbodaily.com/archive/2025/08-August/08-Aug-2025/FBO-07538316.htm.