The purpose of this topic is to develop an AI/ML approach to score height of burst automatically, eliminating the man-power required by the current method.
Height of Burst Scoring through Machine Learning Read More »
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 an AI/ML approach to score height of burst automatically, eliminating the man-power required by the current method.
Height of Burst Scoring through Machine Learning Read More »
Most military scenarios consist of highly cluttered and dynamic scenes. Asynchronous on chip smart event cameras can eliminate cluttered scenarios with a much-reduced latency, power, and would be able to hand off images of interest to imbedded autonomous target algorithms.
The purpose of this topic is to demonstrate the ability to interface to a modern Software Defined Radio (SDR) and the Photon digital signal processing framework in order to characterize large swaths of the RF spectrum in near-real-time (NRT) using AI/ML techniques for signal modulation recognition and sorting (Blue Force emitters; Red Force emitters; Civilian emitters);
US Army requires large-scale, accurate and easily accessible training, test, and validation data to support AI model development for multiple security domains (e.g. SIPR, JWICS…).
Sensor Synthetic Data Generation Read More »
It is projected in the future fight, the speed of battle will be imperative and every munition employed must be effective.
Datalink-Enabled AI for Fires Optimization Read More »
The Army demilitarizes non-usable ammunition in the rotary kiln incinerator (RKI) and tries to recycle the scrap through commercial dealers.
Artificial Intelligence-in Automated Scrap Inspection “MVM” Read More »
Develop/demonstrate the capability to measure multi-directional winds from the aviation platform to the target, and accommodating platform motion in real time.
Holistic Wind Correction for Aviation Targeting Read More »
Develop a Device-to-Device (D2D) squad-level communication platform that uses direct communications without network assistance of a radio access network (RAN). The D2D platform shall implement a cognitive agent controlling jamming mitigation strategies in contested
Dismounted Device-to-Device (D2D) Communication Platform Read More »
Develop a high-fidelity real-time risk assessment tool for hypersonic testing to analyze test mission missile flight debris paths in different configurations (direction, velocity, altitudes) so as to predict the impact zone and ensure the safety of infrastructure and people surrounding the White Sands Missile Range.
Risk Assessment Modeling Tool (RAMoT) Read More »
Army SMDC aims to reconstruct the vertical profile of turbulence (Cn2) as a function of height above ground using a Hartmann Turbulence Sensor (HTS) mounted on a tracking gimbal and platform that lifts 1000 meters off the ground.
Dynamic Hartmann Turbulence Sensor Processing Read More »