Analog In-Memory Computing For Deep Learning Inference (Joint MTL/AI HW Seminar)

First, I will provide an overview of analog in-memory computing (AIMC) in the context of deep learning inference, emphasizing essential concepts and related terminology. Following that, I will offer a detailed overview of a mixed-signal AIMC prototype chip that utilizes phase-change memory technology and is manufactured using 14nm CMOS technology. Lastly, I will offer a glimpse into the future by highlighting ongoing research efforts, spanning from memory device advancements to novel applications.

Dr. Abu Sebastian is a Distinguished Scientist and manager at IBM Research - Zurich. He was an IBM Master Inventor and a European Research Council grantee. He is a recipient of the Ovshinsky Lectureship Award and was recently conferred the title of Visiting Professor by University of Oxford. He is a distinguished lecturer and fellow of the IEEE.