Artificial Intelligence/Machine Learning

This topic is open for all interested U.S.-based small businesses to submit a Phase I or Direct to Phase II proposal.

The Army aims to leverage commercial industry data and expertise on the behaviors of electronically-controlled powertrains, which have commonly circulated throughout the commercial automotive industry for more than 30 years.

US Army Pacific executes Operation Pathways within the INDOPACOM AOR and the multitude of languages, populations, and cultures within the INDOPACOM AOR.

To develop, integrate and deploy a technology with a simple intuitive user interface that improves information exchange and the discovery of collaboration opportunities within the Army R&D and Acquisitions communities as well as between the Army and private sector technology providers and private sector technology integrators. The intent is to drive transition of R&D-funded technologies into the Army enterprise.

The purpose of an Artificial Intelligence/Machine Learning focused Open Topic is to bring potentially valuable small business innovations to the Army and create an opportunity to expand the relevance of the Army SBIR program to businesses that do not normally compete for SBIR awards.

The goal is to develop a suite of probe technology and machine learning algorithms to improve the energetics manufacturing process. Technologies will be selected based on time resolution, ruggedness, data output, safety and suitability in reducing costs and increasing product consistency. 

Methodologies to analyze and describe operational environment (OE) complexity in terms of the above definition through development pathways to elevate the cognitive ability of machine learning (ML) and artificial intelligence (AI)