HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimization

1. 1Identify the limitations of conventional AI-driven AMS design automation algorithms
2. 2Develop a hierarchical circuit reasoning tree-based approach to capture underlying circuit behavior
3. 3Implement an agentic framework for automation loops to enable adaptive design optimization
4. 4Evaluate the performance of HeaRT using metrics such as F1 score

This framework benefits AI engineers and researchers working on design optimization, as well as developers of autonomous systems, by providing a more adaptive and human-like approach to design automation

💡 HeaRT provides a more adaptive and human-like approach to design automation, improving transferability across architectures

💡 HeaRT: A new agentic framework for AMS design optimization using hierarchical circuit reasoning trees