Summary
The Defense Advanced Research Projects Agency (DARPA) is soliciting proposals under topic DPA26BZ04-DV016 of the DoD SBIR/STTR program for the Fusion of Abstract Learning and Context-Optimized Neural-methods (FALCON) effort. The topic seeks to combine advanced machine learning methods that are computationally efficient on structured data with large language models to enable interactive statistical analysis of large-scale enterprise or battlefield datasets. Proposals must address surveying emerging ML methods, designing a combined ML+LLM architecture, defining performance metrics, mitigating hallucinations, and demonstrating interactive analytic capability, with a funding award size up to $1.5M and a response deadline of August 19, 2026.