US Army Kick-Starts AI Pipeline Project for Sensor Requirements

The US Army has awarded Booz Allen Hamilton and Red Hat a $2-million contract to research an artificial intelligence (AI) and machine learning (ML)-based pipeline project.

Project Linchpin is the army’s effort to provide secure AI and ML to the service’s intelligence-gathering, cyber, and electronic warfare sensor requirements.

Sensor sources likely to be addressed are synthetic aperture radar, radio frequency spectrum, electronic intelligence, full motion video, and third-generation forward-looking infrared.

The project seeks to leverage commercial technologies to overcome challenges in AI optimization and absorption of new data through extensive training regimens.

Contract for Research Efforts

The contract “will support research efforts for Project Linchpin with specific regard to the principles of traceability, observability, replaceability, and consumability (TORC),” a US Army Project Manager said.

“The TORC framework seeks to ensure model and data integrity, data openness, and modular open system architecture design.”

The contract will cover six months with the option of an additional five years. 

“This contract is a significant first step to decouple AI from software, decompose components within a MLOPs (Machine Learning Model Operationalization Management) pipeline, and wrap layers of security around the entire process,” PM IS&A Col. Chris Anderson said.

“These design principles will allow the Army to leverage the best of breed technology available across industry, academia, and government.” 

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