{
  "id": 15838740,
  "title": "OptScientist: Automated Discovery of Optimization Laws",
  "url": "https://urgent.news/2026/10/20/optscientist-automated-discovery-of-optimization-laws",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-20T17:23:40.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.28562v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Many scientific phenomena are best understood as outcomes of underlying optimization problems, yet automated scientific discovery has largely focused on recovering equations that describe observed input-output patterns. We introduce OptScientist, a novel automated framework for discovering compact symbolic optimization laws directly from data. OptScientist comprises (i) a model that infers…",
  "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."
}