Allows small businesses to submit to Direct to Phase II applications if they performed the Phase I research through other funding sources.
This platform will integrate tools and best practices in a central portal to modernize the Army’s acquisition process, supporting both Business-to-Business (B2B) and Business-to-Consumer (B2C) needs
AI-enabled Portfolio Management teSt 2 Read More »
This platform will integrate tools and best practices in a central portal to modernize the Army’s acquisition process, supporting both Business-to-Business (B2B) and Business-to-Consumer (B2C) needs
AI-enabled Portfolio Management teSt Read More »
This platform will integrate tools and best practices in a central portal to modernize the Army’s acquisition process, supporting both Business-to-Business (B2B) and Business-to-Consumer (B2C) needs
AI-enabled Portfolio Management Read More »
Provide a comprehensive software-as-a-service (SaaS) solution that automates and standardizes the evaluation and source selection processes while tailoring the user experience to the Army’s unique conditions/constraints.
AI Enabled Source Selection Solution for Contract Proposal Evaluation Read More »
Develop and integrate Artificial Intelligence (AI) technology that can augment current and future sensor hardware enhancing the ability of the driver to maneuver and operate large, heavy, ground combat vehicles.
Artificial Intelligence for Aided Driving of Ground Combat Vehicles Read More »
Organizations across various sectors are increasingly inundated with vast amounts of data, making it challenging to identify and analyze anomalies and patterns effectively.
Novel AI Techniques for Insights in Various Environments (NATIVE) Read More »
Operating, maneuvering, engaging, defending, and commanding the Combat Vehicles on the modern battlefield requires a significant level of crew communication, systems management, and situational awareness.
AI/ML-Enabled Voice-Commanded Autonomous Maneuver for Ground Combat Vehicles Read More »
The objective of this effort is to develop a hardware and software solution to capture, process, and measure key parameters of the chaotic, high-speed, propellant development experiments in challenging real world lighting conditions. It is important because it will lead to advancements in propelling charge design that will enable greater range of artillery weapon systems in development and simultaneously increasing both the lethality and the safety of Soldiers utilizing propellants designed with this technology.
Computational Analysis of Event Camera Imagery for Propellant Testing Read More »
The Explosive Ordnance Disposal Visual Ordnance Identification Database (EODVOID) will develop an automated photogrammetry method to greatly increase the speed of scanning and creating 3D models for 1000’s of pieces of ordnance samples. This would enable the development of a much-needed authoritative ordnance database and serve as a baseline standard for training and developing AI/ML detection and classification algorithms.
Explosive Ordnance Disposal Visual Ordnance Identification Database (EODVOID) Read More »
During a recent analysis, the U.S. Army identified a critical need for improved energy management by 2040. Specifically, there is a gap in the availability of lightweight, cost-effective inverters that can handle power transfer in both directions—from AC to DC and DC to AC—at varying capacities (60 kW, 30 kW, and 10 kW). These inverters are essential for future tactical vehicles to efficiently manage power between generators and onboard systems.
Lighter, Low-Cost Family of Bidirectional Inverters Read More »
