No Colloquium 11/02. Back next week!
Nov9
Abstract: Analog, RF and mixed-signal chip design has been stubbornly slow and largely manual for many decades. Although a large number of tools for full or partial automation have been developed, there has been limited adoption due to a wide range of issues related to the unstructured and intricate nature of analog design. Will this situation change given the current trajectories and success of AI-driven automation? This presentation will investigate this question based on the experience and perspectives of an analog designer. It will focus on identifying the main showstoppers that must be understood and addressed before AI-driven analog design can thrive.
About Boris Murmann
Boris Murmann is a Professor of Electrical & Computer Engineering at the University of Hawaiʻi, Mānoa. From 2004-2023 he was a Professor of Electrical Engineering at Stanford University. Since 2004, Dr. Murmann has worked as a consultant with numerous Silicon Valley companies and currently serves as the Chief Scientist of Omni Design Technologies, San Jose, CA. His research interests are in the area of mixed-signal integrated circuit design, including sensor interfaces, A/D and D/A conversion, high-speed communication links, embedded machine learning (tinyML), design methodology, as well as open-source chip design. He is a Fellow of the IEEE and currently serves as the Editor-in-Chief of the IEEE Journal of Solid-State Circuits.
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Nov16
No Colloquium 11/23. Back next week!
Nov23
