SBIR/STTR Award attributes
The Phase 1 results demonstrate the feasibility of using Bayesian Inference techniques with ML AI engines to augment the cognitive decision processing resident in LSI’s RM for eventual integration within the RM/Navy Mission Processor that is transitioning to the Navy. The proposed Phase 2 effort will further refine the use of Bayesian Inference with AI as enhancements to LSI’s RM. The use of Bayesian Inference will add further intelligence to the other existing automated expert decision tools that support the derivation of actionable information from existing naval airborne sensor systems in a fashion that does not require operator touch time. The Bayesian Inference will be an integrated software capability that supports sensor information analysis and exploitation methodologies, threat behavior analysis, and hypothesis testing. In order to maximize mission success, the Bayesian Inference will automatically inform RM as a contributing factor in RM’s decision logic to autonomously command and control the sensor suite.
