待翻译：X-62A Used Its AI 'Brain' to Autonomously Intercept an 'Enemy' T-38

AI 服务暂时不可用，以下为来源正文，待恢复后补全翻译。

The U.S. Air Force’s X-62A test jet was able to use its artificial intelligence (AI) driven ‘brain’ to autonomously spot and track other aircraft in flight, and then move to intercept them, in recent testing. On top of this, the AI ‘agent’ on the X-62A performed these tasks by leveraging data from an infrared sensor pod slung underneath the aircraft. The tests demonstrate exactly the kind of autonomous air-to-air combat capabilities the Air Force is hoping to gain from its first batch of operational Collaborative Combat Air (CCA) drones. The Air Force and Lockheed Martin shared details about the new testing involving the X-62A, which is a uniquely modified F-16, today. The U.S. Air Force Test Pilot School (USAF TPS), Lockheed Martin’s famed Skunk Works advanced projects division, and other unmanned “industry partners” supported what is described variously as a “closed‑loop AI combat test” and a demonstration of “autonomous AI sensor-to-vehicle control.” The X-62A, which started life as a two-seat F-16D Viper and is also known as the Variable Stability In-flight Simulator Test Aircraft (VISTA), is assigned to the USAF TPS. The Air Force also nicknamed this particular test effort Have Heat. The X-62A seen at Edwards Air Force Base in California during the Have Heat testing. USAF “Leveraging Lockheed Martin’s Infrared Search and Track Legion Pod, during the HAVE HEAT program, the X-62 VISTA platform demonstrated the ability of AI agents to ingest live infrared sensor data, directing the X-62 to autonomously intercept an airborne target in real time,” according to a release from the Air Force’s 412th Test Wing at Edwards Air Force Base in California. “An artificial intelligence (AI) agent used targeting information from an operational sensor to execute successful air intercepts against a live target,” a separate release from Lockheed Martin also explained. “Across eight flights, the X-62 Variable In-flight Simulation Test Aircraft (VISTA) executed 27 AI-controlled intercepts.” A T‑38 jet trainer was used as the live target during the tests, per Lockheed Martin. The Air Force has clearly been building up to tests like Have Heat for years now. The service, together with General Atomics, has notably used the latter company’s MQ-20 Avenger drone equipped with this same pod to demonstrate autonomous target detection and tracking capabilities in the past. As an aside, it is also worth noting here that Legion Pod has been in active operational use on crewed Air Force fighters for some time now. This reflects a separate renaissance that infrared search and track (IRST) capabilities have been seeing across the U.S. military. IRSTs are especially valuable for helping spot stealthy targets with features designed to reduce their radar cross-sections since they detect and track infrared emissions. By extension, IRSTs are also immune to radio frequency electronic warfare jamming. As passive sensors, they do not emit their own signals that could alert a target to the fact they are being tracked, either. IRSTs can still be used to cue or otherwise be linked to other sensors, including active electronically-scanned array radars. Fusing data from multiple sources can provide higher fidelity tracks of multiple targets, as well as improved situational awareness overall. Legion Pod Flies on F-16