{
  "id": 13128471,
  "title": "Physics model reveals fundamental trade-off between prediction and energy efficiency in intelligent systems",
  "url": "https://urgent.news/2026/10/09/physics-model-reveals-fundamental-trade-off-between-prediction-and",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-09T13:30:01.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-10-physics-reveals-fundamental-energy-efficiency.html"
  },
  "original_language": "en",
  "account": null,
  "summary": "Artificial intelligence is increasingly becoming part of our everyday lives, from digital assistants to robots that respond to their surroundings. Each of these capabilities is based on physical computational processes that consume energy. An international research team led by Hans Briegel from the Department of Theoretical Physics at the University of Innsbruck, Austria, has investigated the…",
  "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."
}