arXiv:2611.13020v1 Announce Type: new Abstract: Electronic design automation (EDA) workflows remain highly fragmented, requiring engineers to coordinate heterogeneous representations, specialised software tools, and iterative verification across multiple design stages. Although large language models have brought more general reasoning and code-generation capabilities to EDA, many existing approaches remain focused on isolated tasks and struggle to plan, verify, and repair designs autonomously within executable engineering environments. Here we introduce ChipOmni, a knowledge-enhanced, context-evolving AI agent framework for EDA.
Artificial Intelligence · 2026-11-11
ChipOmni: A General-Purpose AI Agent for Electronic Design Automation
arXiv:2611.13020v1 Announce Type: new Abstract: Electronic design automation (EDA) workflows remain highly fragmented, requiring engineers to coordinate heterogeneous representations, specialised software tools, and iterative verification across multiple design stages.
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