Artificial Intelligence/Machine Learning

This Army SBIR solicitation is for artificial intelligence and machine learning-driven methodologies that can control the production processes for Nano-Nitramines. The Army seeks to produce the most efficient, effective formulations currently known in an agile and flexible manner. AI/ML-driven manufacturing and formulation science can apply “cradle to grave” for Nano-Nitramines, and can enable their widespread adoption by making research and production automated.

With the increasing availability of digital imagery, including satellite data for electro-optical/infrared, synthetic aperture radar and full-motion video, there is a growing need for automated methods to efficiently process and analyze vast amounts of multi-modal data.

Starting with how the U.S. Army develops Acquisition Requirements Packages, small businesses must develop and deliver a state-of-art, artificial intelligence and machine learning-enabled system to modernize and automate Army acquisition processes.

This capability should fold into the ongoing PEO C3T Tactical Data Platform effort, adding technology for hybrid knowledge graph technology, richer knowledge-based representations, and facilitating more advanced decision support and reasoning capabilities utilizing AI/ML.