{
  "id": 827657,
  "title": "AaLLM: An End-to-End Analog Circuit Design Framework from Topology Generation to Sizing Using Large Language Models",
  "url": "https://urgent.news/2026/08/13/aallm-an-end-to-end-analog-circuit-design-framework-from-topology",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-13T16:57:07.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.13472v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Analog circuit design is a time-consuming, iterative process in a nonlinear and high-dimensional design space that relies heavily on expert intuition. Among recent developments, LLMs have introduced a promising approach by bringing natural language reasoning to circuit design tasks. The majority of conventional LLM-based approaches provide fragmented solutions that focus either only on sizing or…",
  "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."
}