China says new AI missile system can track US F-35s with 90% accuracy

• Chinese researchers built an AI targeting infrared traces from F-22 and F-35 engines
• Flare decoys reportedly fail to fool this heat-based recognition model
• Lab tests show recognition accuracy above 90 percent for simulated targets

Chinese researchers have claimed a lightweight AI system can identify heat signatures resembling those of F-22 and F-35 stealth fighters.

The F-22 and F-35 are designed to make enemy detection and tracking more difficult, particularly by reducing their visibility to radar and other sensors.

That makes any technology capable of recognizing their remaining infrared signatures potentially important for detecting aircraft built around stealth.

AI recognition focuses on aircraft heat

Unlike radar-based detection, infrared systems look for heat produced by an aircraft's engines, exhaust, and heated surfaces during flight.

The researchers claim that AI can analyze those patterns and distinguish simulated F-22 and F-35 signatures from other airborne objects.

Pilots often use flares to confuse conventional heat-seeking...

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