supply chain management, logistics coordination, target identifications and simulation
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 »
To collect, transmit and archive data from armament systems (artillery, mortars, crew served, remote, squad) for use in AI/ML applications.
Armament System AI Data Logger & Architecture Read More »
The purpose of this topic is to establish a comprehensive RF-based database that will be used to train a deep learning computer vision algorithm for a target detection system.
Synthetic RF Training Data Generation Read More »
The objective of this topic is to develop Artificial Intelligence / Machine Learning models to augment Natural Language Processing (NLP) capabilities in 2 main challenge areas: relationship detection and aggregation – automatically detecting relationships that exist between the entities that were extracted from the data. Some extracting attributes of entities include: hair color, nationality, model of tank, armor of tank. Pattern recognition, analysis, and exploitation – automatically recognizing patterns such as indications and warnings and courses of actions and analyzing them – is an integral part of this topic.
Natural Language Processing Read More »
This program aims to improve the Explosive Breacher (EB) by closing capability gaps in current breaching techniques left by quickly evolving adversarial technology and aging legacy equipment.
Machine Learning (ML) for Breach Routing Read More »
