{
  "id": 17905446,
  "title": "STLT: A Novel System for Energy-Aware Distributed Inference in the Edge-Cloud-Space Continuum",
  "url": "https://urgent.news/2026/10/31/stlt-a-novel-system-for-energy-aware-distributed-inference-in-the",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-31T19:59:34.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.01233v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Low Earth Orbit satellites are pivotal for Earth observation tasks such as wildfire detection, capturing imagery for analysis by Deep Neural Networks (DNNs). On-board analysis reduces downlink volume, but severe energy constraints force a trade-off between computation and data transmission. Splitting the DNN between satellite and ground turns this balance into a design choice, where the split…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}