Military Embedded Systems

AI and ML to improve Air Force training programs under contract with SGS


May 13, 2021

Emma Helfrich

Technology Editor

Military Embedded Systems

Stock image.

AUSTIN, Texas. SparkCognition Government Systems (SGS), an artificial intelligence (AI) company devoted entirely to government and national defense, announced that along with Intrinsic Enterprises Inc, a technology services and product development company, it has won a contract with The Air Force Research Laboratory (AFRL) through its SBIR program.

Through this contract, SGS claims it will leverage its commercial technologies and AI experience in combination with Intrinsic's expertise in cloud microservice architectures, custom machine learning (ML) modeling, and modern web applications to explore how AI can be used to optimize training programs and improve overall mission readiness.

According to officials, Intrinsic and SGS will explore how AI and ML technologies can create a more dynamic training plan that measures qualitative standards, such as mastery. The companies will focus on solving this problem for pilot training in the Air Force, with the goal of making training more efficient and cost effective.

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, officials claim. Beginning in SBIR 18.2, and now in 20.R, the United States Air Force has begun offering "special" SBIR topics open to a broader range of innovations. The contract SGS was awarded to advance readiness falls under this new category of SBIR topics, the company claims.