Automated Processes for Knowledge Discovery and Information Retrieval

The Air Force Research Laboratory (AFRL) seeks innovative research and development to create automated processes for knowledge discovery and information retrieval across multi‑source, multi‑domain data to improve battlespace awareness and decision‑making. The effort involves developing algorithms that can learn normal behavior, detect anomalies, anticipate events, generate hypotheses, and support continuous incremental learning. Funding is open‑ended through September 2029, with individual awards ranging from $3 M to $35 M over up to 48 months, and can be awarded via FAR contracts, grants, or Other Transaction agreements. • Process and exploit classified, open‑source, and non‑traditional data for rapid analysis. • Develop machine‑learning and data‑fusion techniques that produce richer “patterns of life” and support automated decision processes. • Deliver prototypes and demonstrable results, with potential for follow‑on production contracts.