Resources

Semiconductor Traceability and AI-assisted Research System (STARS)

STARS is a scalable, AI platform for automated testing workflows across emerging electronic devices, such as memristors, TFTs, and small circuits. Through its automated operation for one-by-one testing of devices, STARS supports a ~3× speed-up in the daily throughput of an 8-hour shift by a human researcher.

Resources

LaMDA: Language Model-Assisted Electronic Design Automation

LaMDA is a large language model (LLM)–driven framework designed to integrate directly with industrial electronic design automation (EDA) workflows. Unlike generic LLM applications and prior research focused on isolated open-source EDA tools, LaMDA embeds knowledge of commercial EDA environments.

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EEsizer: LLM-Based AI Agent for Sizing of Analog and Mixed Signal Circuit

The design of Analog and Mixed-Signal (AMS) integrated circuits (ICs) often involves significant manual effort, especially during the transistor sizing process. While Machine Learning techniques in Electronic Design Automation (EDA) have shown promise in reducing complexity and minimizing human intervention, they still face challenges such as numerous iterations and a lack of knowledge about AMS circuit design.

Resources