Abstract: This paper proposes an intelligent scheduling system for power systems, leveraging Large Language Modelling (LLM) to overcome challenges posed by complex system specifications expressed in ...
Abstract: In this work, we propose a high-density energy-efficient compute-in-memory (CiM) macro design for edged AI applications based on long retention 2T0C eDRAM cells using oxide semiconductor ...