supply chain management, logistics coordination, target identifications and simulation
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.
Yuma Test Center Full Load Cooling Read More »
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.
Knowledge-Level Distributed Data Platforms for Ops-Log Synchronization Read More »
US Army Pacific executes Operation Pathways within the INDOPACOM AOR and the multitude of languages, populations, and cultures within the INDOPACOM AOR.
Machine Translation for Indo-Pacific Low Resource Languages Read More »
Multi-Modal data includes text, images, sounds, etc. Having a corpus of synthetic multi-modal data allows the Army to fuse this data together and rapidly generate higher preforming AI/ML algorithms.
Multi-Modal Synthetic Data Corpus to Support Machine Intelligence Development Read More »
To date much work has been invested in active ranging. However, laser-based probes are detectable and will leave the operator vulnerable, particularly at night. Commercial applications, particularly those for self-driving vehicles, use a combination of both active and passive sensors.
Passive Ranging for Fire Control under Day and Night Conditions Read More »
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.
Army Tech Marketplace Read More »
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.
Artificial Intelligence/Machine Learning Open Topic Read More »
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.
Artificial Intelligence/Machine Learning for Nitramine Recrystallization and Coating Read More »
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)
Art + Science Geospatial Innovation Read More »
To develop Artificial Intelligence (AI) capabilities that analyzes technical data information and assesses the candidacy of a component.
Artificial Intelligence (AI) for Additive Manufacturing (AM) Part Selection Read More »
