Artificial intelligence is being brought into the fight to help military operators identify unknown signals across the electromagnetic spectrum.
German firm PROCITEC GmbH and Virginia-based DataShapes AI have introduced ClassifAI, an AI-powered capability designed to help military operators identify and classify unknown radio signals for electronic warfare (EW) and signals intelligence (SIGINT) missions.
The capability combines PROCITEC’s go2signals software with DataShapes AI’s GlobalEdge platform, allowing operators to label and train the system on new signals.
AI Learns New Signals
When an unfamiliar emission appears, operators can label it directly in the familiar go2MONITOR spectrum view.
ClassifAI then learns its characteristics through a guided training process and recognizes it in future sessions.
This allows operators to expand their local signal library as new emissions are discovered and trained, while keeping human expertise and judgment at the center of the process.
Faster Signal Recognition
ClassifAI is integrated into go2signals 26.2 as an optional add-on, allowing operators to use the capability within their existing workflow without a separate interface.
The operator-in-the-loop approach keeps human training and judgment at the center while using AI to accelerate threat recognition and signal classification.
“In modern EW and SIGINT environments, speed and precision are critical,” Stefan Haase, chief executive of PROCITEC, said.
“ClassifAI helps operators understand and re-identify emissions in the electromagnetic spectrum much faster and sufficiently accurate by combining trusted signal analysis workflows with adaptive AI capabilities.”
