Military Embedded Systems

AI and machine learning to improve mission readiness under AFRL contract


April 07, 2021

Emma Helfrich

Technology Editor

Military Embedded Systems

Stock image.

AUSTIN, Texas. SparkCognition Government Systems (SGS) announced that it has won a contract with the Air Force Research Laboratory (AFRL) through its SBIR program. Through this contract, SGS will leverage commercial and artificial intelligence (AI) technologies to explore the uses of machine learning (ML) to enhance aspects of readiness, including manpower planning and decision optimization.

According to the company, AI and ML technologies can assist in using the tremendous amounts of data available to decision makers to make timely, effective decisions. For a use case such as manpower planning, the current methodology is a labor-intensive process.

ML is intended to take a more data-driven approach, require less manual recalibration, and produce an outcome with a higher confidence level than the current methodology provides. Through its contract in the SBIR program, SGS will aim to explore the capabilities of AI/ML to create a tool to improve the effectiveness of manpower planning.

Officials also claim that AFRL and AFWERX have partnered to streamline the SBIR process in an attempt to speed up the experience, broaden the pool of potential applicants, and decrease bureaucratic overhead.