{
  "id": 10839708,
  "title": "Safe-by-Design Learning via Energy-based Neural Networks",
  "url": "https://urgent.news/2026/09/29/safe-by-design-learning-via-energy-based-neural-networks",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-29T07:52:38.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.36942v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Learning neural-network models of dynamical systems with safety guarantees is a fundamental requirement for their deployment in safety-critical settings. Safety is commonly established by proving the invariance of a desired subset in state-space, ensuring that every trajectory initialized in this subset remains confined to it for all time under admissible inputs. Existing frameworks, however,…",
  "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."
}