Text summarization research has undergone several significant transformations with the
advent of deep neural networks, pre-trained language models (PLMs), and recent large …

Advances in machine learning (ML) have ignited hardware innovations for efficient
execution of the ML models many of which are memory-bound (eg, long short-term …

Emerging technologies, such as resistive random-access memory (ReRAM), have proven
their potential in in-memory computing for deep learning applications. My dissertation work …