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 purpose of this topic is to develop and implement chassis suspension improvement, especially in the front, to soften and smooth out the ride for patients, as well as attendant, driver, commander.
M997A3 Chassis Suspension Improvements Read More »
To develop software / controls / integration that will allow a Variable Speed Fan Drive (VSFD) to be managed to reduce noise from the largest cause of HMMWV noise.
Variable Speed Engine Cooling Fan for Acoustic Detection Management Read More »
To increase run-flat range from 30 miles to 350 miles to support autonomous operations. The overall goals are to increase top run-flat speed from 30 mph to 45 mph, provide the same ride quality and terrain capability as existing pneumatic tires used for the military
Advanced Tire Technology for Manned and Unmanned Systems Read More »
To develop a self-contained system for autonomous vehicles that can be used to determine when people are around the vehicle and leverage this information to inform the actions of the autonomous system.
Self-Contained Personnel Safety Systems for People in and around Autonomous Vehicles 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 »
The purpose of this topic is to use recent advancements in Artificial Intelligence, specifically, GNN to be able to collaborate between different AI agents, Unmanned Aerial/Ground Systems (UxS).
Graph Neural Networks (GNN) for UxS Collaborative Agent Control Read More »
