US Army Hires New York’s Andro to Teach AI How to Fight in Dirty Airwaves

[Starmix]

According to the report, Andro Computational Solutions in New York has landed a multimillion-dollar US Army contract to help artificial intelligence and machine learning (AI/ML) get better at understanding electronic warfare and signal intelligence data.

The report stated that the work centers on RF-Gen, a new system that generates synthetic radio frequency (RF) data so AI models can train for real-world chaos, such as noisy, jammed, or fully contested airwaves, without dragging expensive field gear into the mix. It ties into Project Linchpin, the service’s big push to field trusted, fast-deploying AI tools across its sensor and electromagnetic solution programs.

The report added that effort, officially titled RF-Gen: AI/ML-Ready Synthetic RF Data, will run through Andro’s Marconi-Rosenblatt AI Innovation Lab, with commercial software-defined radio hardware provider Deepwave Digital onboard as a project partner.

In addition to the report, RF-Gen uses generative AI to build high-fidelity RF datasets that capture everyday signal clutter along with more aggressive interference. This lets engineers train and stress-test mission algorithms inside secure digital environments instead of relying on limited or restricted real-world RF recordings.

Andro President Andrew Drozd said the project reflects the company’s continued work at the intersection of AI, RF engineering, and national-security tech.

Source: The Military AI

 

[gwolf666]

Andro Computational Solutions' multimillion-dollar contract with the U.S. Army highlights the importance of artificial intelligence and machine learning in electronic warfare and signals intelligence. The RF-Gen system enables the generation of synthetic radio frequency data, facilitating the training of AI models in chaotic scenarios, such as interference and congested waves, without the need for expensive field equipment. This technology is integrated into Project Linchpin, which aims to deploy reliable and rapid AI tools across various sensing and electromagnetic programs. Using generative AI to create high-fidelity RF datasets allows engineers to test and refine algorithms in secure digital environments, improving preparedness for real-world situations. The initiative, led by Andro's innovation lab and in collaboration with Deepwave Digital, demonstrates a commitment to advancing the intersection of AI, RF engineering, and national security to strengthen military capabilities.

 

[Starmix]

RF-Gen uses generative AI to build high-fidelity RF datasets that capture everyday signal clutter along with more aggressive interference. This lets engineers train and stress-test mission algorithms inside secure digital environments instead of relying on limited or restricted real-world RF recordings. This proves the bright minds of the American scientists and inventors of new technology with the enhancement of AI.