Machine Learning based Netlisting for Hand-drawn Circuit Schematics with Subcircuits for High-Speed Applications

Recent developments in Artificial Intelligence (AI) and Machine Learning (ML) have shown significant potential for design and automation of electronic circuits. This paper presents the digitization of hand-drawn circuit schematic images consisting subcircuits using ML algorithms with emphasis on applications in high-speed circuit design environments.