{
  "id": 676807,
  "title": "Extending AI Architectures to Address Continuous Scientific Problems",
  "url": "https://urgent.news/2026/08/12/extending-ai-architectures-to-address-continuous-scientific-problems",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-12T15:00:00.000Z",
  "source": {
    "name": "Caltech News",
    "slug": "caltech-news",
    "url": "https://www.caltech.edu/about/news/extending-ai-architectures-to-address-continuous-scientific-problems"
  },
  "original_language": "en",
  "account": null,
  "summary": "Artificial intelligence is proving to be transformative in its ability to work with language and images. Now, with a growing push to apply AI to scientific discovery, Caltech's Anima Anandkumar says there is a crucial ingredient missing from most AI models: the ability to understand the physical world. Take as an example weather models, says Anandkumar, Caltech's Bren Professor of Computing and…",
  "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."
}