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RTX (RTX) Demonstrates Self-Healing Combat Communications System PACE4ACE
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RTX (RTX) Demonstrates Self-Healing Combat Communications System PACE4ACE

Yahoo Finance · May 23, 2026, 12:03 PM · Also reported by 1 other source

Key takeaways

  • RTX (RTX) Demonstrates Self-Healing Combat Communications System PACE4ACE Maham Fatima Sat, May 23, 2026 at 7:03 PM GMT+7 2 min read RTX RTX Corporation (NYSE:RTX) is one of the best low risk stocks to buy in 2026.
  • The architecture operates across diverse military and commercial pathways( ranging from satellite links to low-power tactical radios) and dynamically selects the best available channel without operator input.
  • Development is being conducted in Cambridge, Massachusetts, with hardware support from the Institute for Human & Machine Cognition and Collins Aerospace.

RTX (RTX) Demonstrates Self-Healing Combat Communications System PACE4ACE Maham Fatima Sat, May 23, 2026 at 7:03 PM GMT+7 2 min read RTX RTX Corporation (NYSE:RTX) is one of the best low risk stocks to buy in 2026. On May 20, RTX’s BBN Technologies, funded by the Air Force Research Laboratory, demonstrated a self-healing communications system called PACE4ACE. The system provides a continuous, secure data flow for combat air support by automatically rerouting network traffic when primary links are jammed, fragmented, or unavailable.

The architecture operates across diverse military and commercial pathways( ranging from satellite links to low-power tactical radios) and dynamically selects the best available channel without operator input. During a recent exercise involving four geographically dispersed sites, the system instantly switched waveforms during jamming events, keeping critical situational awareness applications synchronized.

PACE4ACE features a compact, low Size, Weight, and Power (SWaP) architecture suited for constrained systems, offers plug-and-play integration with common mission systems, and validates the US Air Force’s Agile Combat Employment/ACE concept. Development is being conducted in Cambridge, Massachusetts, with hardware support from the Institute for Human & Machine Cognition and Collins Aerospace.

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