Assistant Secretary of the Army for Acquisition, Logistics, and Technology ASA(ALT) releases contract opportunities on an ad-hoc basis to meet Army research and development needs.
The objective of this topic is to apply Large Language Models (LLMs) and/or other Artificial Intelligence (AI) approaches to support and automate warfighter’s system’s integrations. This will pertain to problems with data unification and interoperability regardless of the target system, source system, or data format. It will focus on usage in tactical environments to assist and provide reliable performance, regardless of echelon level.
Artificial Intelligence for Interoperability Read More »
Current ground-based radar systems cannot meet the detection needs of evolving longer range threat systems without sacrificing scan times. The Army needs a solution, such as novel signal processing techniques, that can be implemented on existing radars that will provide improvements in probability of detection at longer ranges. Solutions must not impact current scan time requirements.
Radar Signal Processing Improvements for Probability of Detection 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 »
Automated Course of Action (CoA) recommendation at the Unit of Action. Currently, it takes units at the Battalion (BN) echelon several hours to use the Military Decision-Making Process (MDMP) to generate and vet CoA options.
Leveraging state-of-the-art Artificial Intelligence/Machine Learning (AI/ML) algorithms will speed up this process by an order of magnitude, allowing systematic replanning during the execution phase of operations. This will improve mission success and reduce risk to force in combat operations. It will also enable the mobile, distributed command post concept.
Automated Course of Action Generation Read More »
Develop and implement a secure wireless data transfer solution for Predictive Logistics. This solution must enable the seamless movement of collected logistics data from military platforms to a central location where Unit Commanders and Maintainers can visualize and analyze this data.
Secure Wireless Data Transfer Solutions for Predictive Logistics Read More »
The proposed topic will develop a Large Language Model (LLM) tailored to reduce the risk of traditional and emerging Artificial Intelligence (AI) and Machine Learning (ML) adversarial attacks on aviation and missile systems.
Large Language Models for System Security Engineering Analysis Read More »
Develop a triboelectric, thermoelectric and/or piezoelectric coating for use on ordnance to augment or replace onboard batteries
Triboelectric, Thermoelectric, Piezoelectric Coating 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 »
The objective of this focused open topic is to demonstrate technologies that support performance readiness and operational effectiveness of working dogs across all training and operational environments based on current and future Army needs. Technologies with purely veterinary medical use cases will not be considered.
Canine Readiness and Performance Open Topic Read More »
