{
  "id": 3936962,
  "title": "Large language models as uncertainty-calibrated optimizers for experimental discovery",
  "url": "https://urgent.news/2026/08/28/large-language-models-as-uncertainty-calibrated-optimizers-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-28T00:00:00.000Z",
  "source": {
    "name": "Nature Machine Intelligence",
    "slug": "nature-machine-intelligence",
    "url": "https://www.nature.com/articles/s42256-026-01283-z"
  },
  "original_language": "en",
  "account": null,
  "summary": "Nature Machine Intelligence, Published online: 28 August 2026; doi:10.1038/s42256-026-01283-z Although language models can be helpful in molecular design, they are not typically calibrated for uncertainty. Rankovic and colleagues present a method to train language models while taking into account the uncertainty of the data.",
  "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."
}