LLM-Based AI Agent That Automates The Transistor Sizing Process (Univ. of Edinburgh)


A new technical paper titled "EEsizer: LLM-Based AI Agent for Sizing of Analog and Mixed Signal Circuit" was published by researchers at The University of Edinburgh. Abstract "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 A... » read more

EBook: Optimizing Analog Design With Multiphysics


As technologies like artificial intelligence (AI), 5G, electric vehicles, and high-speed computing continue to advance, analog and mixed-signal (AMS) technologies have become the unsung heroes of next-gen electronics. AMS chips are enabling smarter, faster, and more efficient systems, but traditional design approaches are struggling to keep pace. Interconnect parasitics, power integrity, photo... » read more