Researchers have developed SFgen, a novel system utilizing multimodal large language models (MLLMs) to automate the creation of symbols and footprints for electronic components. This agentic recognition and generation flow achieves 86% accuracy in symbol generation and 80% in footprint generation. The method has been used to build SFnet, a database currently containing 1000 electronic components, with ongoing expansion aimed at enabling automatic generation of printed circuit board (PCB) designs. AI
IMPACT Automates a traditionally manual and error-prone process in PCB design, potentially accelerating development cycles.
RANK_REASON The cluster describes a research paper detailing a new method and database for electronic component design using AI.
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- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- Hugging Face
- MLLMs
- printed circuit board
- ScienceCast
- SFgen
- SFnet
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