arXiv: cs.AI preprintsInternational11 November 2026
TACS-RF: Tool-driven Agentic Circuit Synthesis of RF and mmWave Modules
This is an official announcement record
Firsthand records what arXiv: cs.AI preprints announced and links to the original. The wording below is theirs, not ours.
arXiv:2610.31882v2 Announce Type: replace Abstract: We present the framework of TACS-RF - a Tool-driven Agentic Circuit Synthesis of RF and mmWave modules. In this framework, a large-language-model (LLM) coding agent (Claude Opus 4.8) directly drives industry-standard electronic-design-automation (EDA) tools such as Cadence Virtuoso/Spectre, Calibre, Cadence EMX, and Ansys HFSS to design RF and mmWave modules. We validate the framework through the agentic design of a 240-251 GHz sub-THz transmitter in a 90 nm SiGe BiCMOS process. The agent semi-autonomously designed the sub-blocks including a
Read the official announcement
Opens arxiv.org
More from arXiv: cs.AI preprints
- Auditable Human-Agent Teams for Autonomous X-ray Experimentation11 November 2026
- EarthRecord: From Pixels to Land Change with Multimodal Agents over Four Decades of Satellite Imagery11 November 2026
- Train on prefill, monitor at decode: Using sparse autoencoders for topic monitoring11 November 2026
- LandslideFM: A Foundation Model Towards Unified Landslide Perception and Understanding11 November 2026
- Tracing Psychometric Inference in Large Language Models11 November 2026
This content is for informational purposes only and is not professional advice. Specifications, prices, plan tiers, and features change frequently and may differ from what is shown here; verify current details on the manufacturer's or company's official page before purchasing. Ratings are based on analysis of published documentation, not independent lab testing.